Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:01:41.109595Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2508.17216.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:01:41.109595Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
65 of 65 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9571fc8f-0822-48c5-8961-4e40cf01dea3 · outbound
Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology T cell acute lymphoblastic leukemia (t-all): new insights into the cellular origins and infiltration mechanisms common and unique among hematologic malignancies
Reference 1
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A hematologist-level deep learning algorithm (bmsnet) for assessing the morphologies of single nuclear balls in bone marrow smears: algorithm development
Reference 2
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Timely diagnosis of acute lymphoblastic leukemia using artificial intelligence-oriented deep learning methods
Reference 3
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Leukemia, lymphoma, and myeloma
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Pattern recognition of acute lymphoblastic leukemia (all) using computational deep learning
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology a ger, and Joachim Sch \
Reference 7
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Genetic biomarkers and their clinical implications in b-cell acute lymphoblastic leukemia in children
Reference 8
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Asparaginase in the treatment of acute lymphoblastic leukemia in adults: Current evidence and place in therapy
Reference 9
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Cancer statistics, 2023
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Use of car t-cell for acute lymphoblastic leukemia (all) treatment: a review study
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A novel deep learning framework (dlf) for classification of acute lymphoblastic leukemia
Reference 12
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Peripheral bone relapse of paediatric tcf3-hlf positive acute lymphoblastic leukaemia during haematopoietic stem cell transplantation: A case report
Reference 13
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Automated detection of b cell and t cell acute lymphoblastic leukaemia using deep learning
Reference 14
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Interactions of b-lymphocytes and bone cells in health and disease
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Flt3 signaling in b lymphocyte development and humoral immunity
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology T cell development and t cell receptor structure
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Comparative features and outcomes between paediatric t-cell and b-cell acute lymphoblastic leukaemia
Reference 18
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Deep learning in medical image analysis
Reference 20
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Unresolved cited work
Reference 21
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A systematic survey of computer-aided diagnosis in medicine: Past and present developments
Reference 22
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Redefining radiology: a review of artificial intelligence integration in medical imaging
Reference 23
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A scoping review of transfer learning research on medical image analysis using imagenet
Reference 24
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Bo-allcnn: Bayesian-based optimized cnn for acute lymphoblastic leukemia detection in microscopic blood smear images
Reference 25
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Mutual information based hybrid model and deep learning for acute lymphocytic leukemia detection in single cell blood smear images
Reference 26
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A deep learning-based approach for the diagnosis of acute lymphoblastic leukemia
Reference 27
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Leukemia diagnosis in blood slides using transfer learning in cnns and svm for classification
Reference 28
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Development and evaluation of a leukemia diagnosis system using deep learning in real clinical scenarios
Reference 29
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology An aggregated-based deep learning method for leukemic b-lymphoblast classification
Reference 30
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Method for diagnosis of acute lymphoblastic leukemia based on vit-cnn ensemble model
Reference 31
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Acute lymphoblastic leukemia (all) image dataset
Reference 32
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A review: Data pre-processing and data augmentation techniques
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Cnn variants for computer vision: History, architecture, application, challenges and future scope
Reference 34
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Attention-guided deep convolutional neural networks for skin cancer classification
Reference 35
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology 1-dimensional polynomial neural networks for audio signal related problems
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A transdisciplinary review of deep learning research and its relevance for water resources scientists
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Transfer learning
Reference 38
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Frequency Disentangled Residual Network
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Training very deep neural networks: Rethinking the role of skip connections
Reference 40
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Continuous-in-Depth Neural Networks
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach
Reference 42
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Pyramid graph networks with connection attentions for region-based one-shot semantic segmentation
Reference 43
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Pruning depthwise separable convolutions for mobilenet compression
Reference 44
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A new image classification approach via improved mobilenet models with local receptive field expansion in shallow layers
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology P2op—plant pathology on palms: A deep learning-based mobile solution for in-field plant disease detection
Reference 47
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Reference 48
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Reference 49
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Convolutional neural network and its pretrained models for image classification and object detection: A survey
Reference 50
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Micro-architecture design exploration template for automl case study on squeezesemauto
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Image classification based on inception-v3 and a mixture of handcrafted features
Reference 52
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Cnn based fundus images classification for glaucoma identification
Reference 53
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Damage detection using in-domain and cross-domain transfer learning
Reference 54
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Towards indoor suctionable object classification and recycling: Developing a lightweight ai model for robot vacuum cleaners
Reference 55
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A survey on deep learning in medical image analysis
Reference 56
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification
Reference 57
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Diffusion models for medical imaging
Reference 58
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Big data analytics for preventive medicine
Reference 59
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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Unresolved cited work
Reference 60
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Observation 79d8f7e4-05f7-4a41-8d67-2713d7a99926 · outbound
Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Scalable ai deployment using cloud computing
Reference 61
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d6853d6b-e60a-4ebd-bef6-6eab71e315c9 · outbound
Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Searching for mobilenetv3
Reference 62
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 304420ea-0dc5-4546-828a-68c8e8edcded · outbound
Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Opportunities and obstacles for deep learning in biology and medicine
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7d561897-0ef3-478d-94e5-2f9eea2abe8b · outbound
Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology What do we need to build explainable ai systems for the medical domain? Journal of Artificial Intelligence Research , 71:593--626, 2021
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9ec346fd-f623-4c70-84d8-1a5dce5d37eb · outbound
Reference 65
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.