Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:22:58.059258Z
Paper Citation Record · LEDGER
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks
As of 17 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1908.07362.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
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
Reference resolution
21 of 21 outbound references displayed
- verified exact1
- verified fuzzy17
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 09cf0cf0-49a1-4377-b6fe-45634dd7b82a · outbound
This paper cites Invasive ductal carcinoma (idc),.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Invasive ductal carcinoma (idc),
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.354607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b84a5fda-7d94-4f97-98d8-deb64116111a · outbound
This paper cites Invasive ductal carcinoma dataset,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Invasive ductal carcinoma dataset,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.340189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c9906494-6317-41ce-97c3-3581f416cc7a · outbound
This paper cites Invasive ductal carcinoma treatment,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Invasive ductal carcinoma treatment,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.325943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6fbb54ac-69ef-4e61-9006-e93c62232a9e · outbound
This paper cites Causes of breast cancer,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Causes of breast cancer,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.311830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 56543079-01ae-4cfc-8222-491c04c798b1 · outbound
This paper cites Gradient-based learning applied to document recognition,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Gradient-based learning applied to document recognition,
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:57.997048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1c07818-f643-4fa5-9116-1144b9dc028e · outbound
This paper cites Imagenet classification with deep convolutional neural networks,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Imagenet classification with deep convolutional neural networks,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.289802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2350b639-a2e4-4e5d-8617-58d725349df3 · outbound
This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Faster r-cnn: Towards real-time object detection with region proposal networks,
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:58.006283Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5151c320-b6d5-40dc-b01d-2ed009163eb8 · outbound
This paper cites Mask r-cnn,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Mask r-cnn,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.268055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a3afc3a1-8fc8-4c23-b753-b4574fe2b368 · outbound
This paper cites Digital analysis of microscopic images in medicine,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Digital analysis of microscopic images in medicine,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.254511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1ea64635-3e23-4866-b6e3-e16d385fcaa2 · outbound
This paper cites Deep residual learning for image recognition,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Deep residual learning for image recognition,
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:22:58.018476Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 315ddbf3-04fe-46a8-9031-fc8a7b105d5e · outbound
This paper cites A survey of data mining and deep learning in bioinformatics,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks A survey of data mining and deep learning in bioinformatics,
Reference 11
- Resolution
- verified exact
- doi, observed 2026-08-14T12:22:58.093163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6117cf18-51ad-4127-920f-4f5d7715caa9 · outbound
This paper cites Breast cancer histopathology image analysis: A review,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Breast cancer histopathology image analysis: A review,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.231509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 97d96965-3d16-4150-9df2-ac47e96b7fd3 · outbound
This paper cites Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.218675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c0d30a9c-0aa3-427a-b1c0-e9835fb2e33f · outbound
This paper cites Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.204619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation da36844f-2f56-487b-87f1-ef08ef293bf8 · outbound
This paper cites Computerized classification of intraductal breast lesions using histopathological images,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Computerized classification of intraductal breast lesions using histopathological images,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.190485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 860a5319-c674-4670-916d-cde14aad3530 · outbound
This paper cites Automated detection of dcis in whole-slide h & e stained breast histopathology images,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Automated detection of dcis in whole-slide h & e stained breast histopathology images,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.177363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 95d314b1-65d7-4e89-a78a-5c4b62219fac · outbound
This paper cites Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.162906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 087ac5ed-9471-40a3-9777-9d5d9b656689 · outbound
This paper cites Imbalanced histopathological breast cancer image classification with convolutional neural network,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Imbalanced histopathological breast cancer image classification with convolutional neural network,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.148383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9c173e05-c0a9-488f-9c83-3365942a5237 · outbound
This paper cites Invasive ductal breast carcinoma detector that is robust to image magnification in whole digital slides,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Invasive ductal breast carcinoma detector that is robust to image magnification in whole digital slides,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.135043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4aade2a3-d24a-446c-9631-9dea1017efe1 · outbound
This paper cites Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.120695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3f200488-e832-4bf9-8401-c90415d4ae9e · outbound
This paper cites Context- aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images,.
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks Context- aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:22:58.107103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.