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Paper Citation Record · LEDGER

Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models

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.

pith.paper-citation-record.v1
2607.26580 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:59:45.218875Z

measured 41 of 41 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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Outbound references

Observation bfb06334-e5ab-4b9c-81e6-875383255e08 · outbound

This paper cites 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.

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

This paper cites an unresolved cited work.

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

This paper cites Its symptoms include chronic coughing, chest pains, and weight loss.

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

This paper cites Its symptoms include coughing, blood-streaked phlegm, and chest pain.

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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Observation 6e1946e7-8dbf-4692-8372-ebde2e79c7b3 · outbound

This paper cites This causes airway irritation that causes reduced breath and chronic coughing.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work

Reference 9

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This paper cites an unresolved cited work.

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

This paper cites It can be caused by various factors, such as a bacterial infection.

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

This paper cites Interpretation of X -ray images manually is one of the conventional methods of diagnosis, which is time consuming and prone to human error.

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

This paper cites train" and.

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

This paper cites M., Adams, L.

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

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Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work

Reference 15

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Observation 748c5342-dd2e-4ba6-854b-bc16c2327e15 · outbound

This paper cites S., Divya, G.

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

This paper cites (2023, January).

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

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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

This paper cites F., Hurd, S., Anzueto, A., Barnes, P.

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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Observation fe5998ea-b96a-47f8-9370-c15b146b7a90 · outbound

This paper cites E., Hemdan, E.

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

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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

This paper cites E., Setio, A.

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

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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

This paper cites L., Zhu, K., Yang, B., Mehta, H.,.

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

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

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

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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

This paper cites A Deep -Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images.

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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Observation 3c764f4d-81d0-4be8-90b8-abeb3ed7c79a · outbound

This paper cites A., Ko, J., Swetter, S.

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

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Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work

Reference 30

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Observation fd8bc57f-f601-408c-b5eb-0404f517aaa5 · outbound

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Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work

Reference 31

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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

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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

This paper cites D., Rajinikanth, V., Pugalenthi, R., & Raja, N.

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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This paper cites an unresolved cited work.

Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work

Reference 35

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Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work

Reference 36

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This paper cites H., Khan, T., & Khan, S.

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

This paper cites (2013, October).

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

This paper cites an unresolved cited work.

Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work

Reference 39

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Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Unresolved cited work

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Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models A., Baloglu , U

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This paper cites Metrics for Multi-Class Classification: an Overview.

Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models Metrics for Multi-Class Classification: an Overview

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