Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:59:45.218875Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.26580.
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 2026-08-01T12:59:45.218875Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation bfb06334-e5ab-4b9c-81e6-875383255e08 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Lung Disease Disorder refers to the wide range of disorders related to but not limited to pneumonia, tuberculosis (TB), chronic obstructive lung disease (COPD), and lung cancer
Reference 1
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Observation 601416be-6d84-4379-a94b-ea7fe0ed6cf1 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 2
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Observation 2970a4a8-839c-4fd0-9ba2-82809dc16155 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Its symptoms include chronic coughing, chest pains, and weight loss
Reference 3
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Observation baa4f7fa-2f75-4995-8b6a-933b65284abb · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Its symptoms include coughing, blood-streaked phlegm, and chest pain
Reference 4
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Unavailable: canonical work link unavailable.
Observation 6e1946e7-8dbf-4692-8372-ebde2e79c7b3 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models This causes airway irritation that causes reduced breath and chronic coughing
Reference 5
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Observation 33e97e88-82f0-471f-aff9-58bdd469d9a2 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 6
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Observation 83583889-fe6d-4a58-8add-eab32ab55af8 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 7
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Observation 9567f2ba-cdc5-4d3c-bbf7-3aff279d06f1 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 8
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Observation 237b93ef-896d-4b2a-979b-6de741ae549f · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 9
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Observation c866b0b0-d7f6-4c58-9bdc-157cc48c82b5 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 10
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Observation 0becbe15-69fd-440c-a4e1-cf7d2277d1e7 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models It can be caused by various factors, such as a bacterial infection
Reference 11
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Observation 2a9fdc84-0552-4e88-988d-a0e36b9e87f4 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Interpretation of X -ray images manually is one of the conventional methods of diagnosis, which is time consuming and prone to human error
Reference 12
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Observation c3f449a5-28d3-48f8-8517-d243961798c1 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models train" and
Reference 13
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Observation dadae9b0-0cc2-48f3-afbb-eaa3e64fdfb9 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models M., Adams, L
Reference 14
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Observation 1c772483-4064-4dff-9d90-d1b6d54b61ef · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 15
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Unavailable: canonical work link unavailable.
Observation 748c5342-dd2e-4ba6-854b-bc16c2327e15 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models S., Divya, G
Reference 16
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Observation a8b9c01f-981c-4be9-a0c4-a36b0da6a207 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models (2023, January)
Reference 17
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Observation 5b351c33-5794-4a12-8f9a-6d4927fabe0e · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 18
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Observation f10dea28-5fb9-4c46-806a-12a53d3a743a · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models F., Hurd, S., Anzueto, A., Barnes, P
Reference 19
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Unavailable: canonical work link unavailable.
Observation fe5998ea-b96a-47f8-9370-c15b146b7a90 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models E., Hemdan, E
Reference 20
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Observation d81c69c4-99ed-45e1-b74f-62291ca33133 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 21
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Observation dbe51072-bbc6-4645-966e-949d4be99d28 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models E., Setio, A
Reference 22
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Observation a2bd84c4-2054-44cd-8d96-ae35174bc74b · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 23
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Observation 70391bd9-159c-4e0c-9a1b-aef656090b2b · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models L., Zhu, K., Yang, B., Mehta, H.,
Reference 24
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Observation 8eadfecd-a0f2-41fa-8eaf-03371ddbdd48 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 25
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Observation 468ed00f-01fc-42ff-81f7-96b587aa173d · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 27
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Observation 25aea21c-7709-40b8-ba0a-f900b320231c · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models A Deep -Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images
Reference 28
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Unavailable: canonical work link unavailable.
Observation 3c764f4d-81d0-4be8-90b8-abeb3ed7c79a · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models A., Ko, J., Swetter, S
Reference 29
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Observation f38239c3-b4b5-45e6-ba41-ed2263b064e8 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 30
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Unavailable: canonical work link unavailable.
Observation fd8bc57f-f601-408c-b5eb-0404f517aaa5 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 31
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Unavailable: canonical work link unavailable.
Observation b82898a2-6461-4d21-909f-783b511f9e19 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models (2016, September)
Reference 32
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Observation 8376377f-ebbb-46c0-8d81-920b7dfdf7a0 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 33
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Observation 5e7b7fc7-a035-4378-a260-753fb968d32c · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models D., Rajinikanth, V., Pugalenthi, R., & Raja, N
Reference 34
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Observation 2221b0db-9a28-4f8c-a914-f075f89388e3 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 35
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Observation 2ed73c49-44da-425b-8c3f-05b48a4ea076 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 36
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Observation cb5fadb4-b3d6-463b-8403-aaa98d458ed4 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models H., Khan, T., & Khan, S
Reference 37
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Observation d52e965c-bee9-4e99-9e49-346e7fa15059 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models (2013, October)
Reference 38
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Observation 0fa95ea8-b62b-4791-84ae-ca3c30da8fea · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 39
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Observation ffb343d5-06ad-4f40-a738-7e667c03b8aa · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work
Reference 40
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Observation 1d26f3fc-6194-4b7a-a602-d57c54a69a14 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models A., Baloglu , U
Reference 41
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Observation bc861228-2228-4629-864e-548134ee49d2 · outbound
Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Metrics for Multi-Class Classification: an Overview
Reference 42
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No inbound Pith citation observations are available.