Paper Citation Record · LEDGER

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification

As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.17185.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.17185 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:59:13.688952Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact11
verified fuzzy3
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 418d1658-0c90-4973-ab41-bbf6d7342642 · outbound

This paper cites ABCDE —An Evolving Concept in the Early Detection of Melanoma.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification ABCDE —An Evolving Concept in the Early Detection of Melanoma

Reference 1

Resolution: verified exact; doi, observed 2026-08-06T14:59:16.366678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14e131ef-3067-4926-bcef-8d5dd2f1ed6d · outbound

This paper cites Three -point checklist of dermoscopy: an open internet study.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Three -point checklist of dermoscopy: an open internet study

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-06T14:59:18.580748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 518ce521-e2ae-445e-850b-844414cb8aaf · outbound

This paper cites CASH Algo rithm for Dermoscopy Revisited.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification CASH Algo rithm for Dermoscopy Revisited

Reference 3

Resolution: verified exact; doi, observed 2026-08-06T14:59:16.090603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f63af377-e921-4faf-b79a-27d03ba74f01 · outbound

This paper cites Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:10.608600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1cfb0ad-0008-45f8-a324-68a5b86cb127 · outbound

This paper cites Structural asymmetry as a dermatoscopic indicator of malignant melanoma – a latent class analysis of sensitivity and classification errors.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Structural asymmetry as a dermatoscopic indicator of malignant melanoma – a latent class analysis of sensitivity and classification errors

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T14:59:15.785266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2f70fef6-4352-45e8-a059-7fbe751bb54e · outbound

This paper cites Determining the asymmetry of skin lesion with fuzzy borders.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Determining the asymmetry of skin lesion with fuzzy borders

Reference 6

Resolution: verified exact; doi, observed 2026-08-06T14:59:15.526581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2d9d58c-71df-421f-b62d-db671812e5c0 · outbound

This paper cites Automatic boundary detection and symmetry calculation in dermoscopy images of skin lesions.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Automatic boundary detection and symmetry calculation in dermoscopy images of skin lesions

Reference 7

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T14:59:18.246041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9ea380f1-3d89-478e-adf7-d2d8d60b146c · outbound

This paper cites Dermatologist -like feature extraction from skin lesion for improved asymmetry classification in PH2 database.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Dermatologist -like feature extraction from skin lesion for improved asymmetry classification in PH2 database

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T14:59:17.800896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 128fe4db-f0a4-4c56-b45c-442a2199822a · outbound

This paper cites Skin lesions dermatological shape asymmetry measures,.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Skin lesions dermatological shape asymmetry measures,

Reference 9

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T14:59:17.400635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4dddda4d-2577-4c65-8da9-9ec57254f208 · outbound

This paper cites Quantitative evaluation of binary digital region asymmetry with application to skin lesion detection.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Quantitative evaluation of binary digital region asymmetry with application to skin lesion detection

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T14:59:15.098876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4352b4fe-bc0c-4261-bde1-3c712d2c0934 · outbound

This paper cites Towards the automatic detection of skin lesion shape asymmetry, color variegation and diameter in dermoscopic images.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Towards the automatic detection of skin lesion shape asymmetry, color variegation and diameter in dermoscopic images

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T14:59:14.837203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b95ca8a-c485-4632-9580-589ed20cab99 · outbound

This paper cites Skin Lesions Asymmetry Estimation Using Artificial Neural Networks.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Skin Lesions Asymmetry Estimation Using Artificial Neural Networks

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-06T14:59:17.004771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b5ee6dd-2cc2-4490-89ae-c45dd9e32f5a · outbound

This paper cites Asymmetry analysis of melanoma based on ABCD rule.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Asymmetry analysis of melanoma based on ABCD rule

Reference 13

Resolution: verified exact; doi, observed 2026-08-06T14:59:14.531858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd784064-6063-436d-b502-0edac250523c · outbound

This paper cites A novel approach for skin lesion symmetry classification with a deep learning model.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification A novel approach for skin lesion symmetry classification with a deep learning model

Reference 14

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T14:59:16.716251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e54e439e-ab9a-4aa2-a19f-04a5c47b159b · outbound

This paper cites Ferreira, Jorge Marques, Andre R.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Ferreira, Jorge Marques, Andre R

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:19.228073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03b6092f-11db-4ee2-8201-9cead528feda · outbound

This paper cites Imagenet: A large -scale hierarchical image database.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Imagenet: A large -scale hierarchical image database

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:19.040275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 325d5307-4a00-48ed-8610-196a9349d497 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Deep Residual Learning for Image Recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:12.707134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aae97c7a-2e43-4a89-ae8f-b3384d8a93c6 · outbound

This paper cites ImageNet classification with deep convolutional neural networks.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification ImageNet classification with deep convolutional neural networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:12.870603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca1ec84-ccbc-4004-a5ac-2a6db28c2a0f · outbound

This paper cites Review of deep learning: concepts, CNN architectures, challenges, applications, future directions.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:13.083268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2c3eb4b-6ef1-47ca-a8ac-d610d500cbb8 · outbound

This paper cites and Darrell, T., 2014, January.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification and Darrell, T., 2014, January

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:18.924614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b14cb09d-5fa3-4ce8-a073-a707b8c8aece · outbound

This paper cites Minimizing Average of Loss Functions Using Gradient Descent and Stochastic Gradient Desc ent.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Minimizing Average of Loss Functions Using Gradient Descent and Stochastic Gradient Desc ent

Reference 21

Resolution: verified exact; doi, observed 2026-08-06T14:59:14.221193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5653e898-f6c7-46de-8e1b-3aa8e0d3e463 · outbound

This paper cites An improved multiclass LogitBoost using adaptive -one-vs-one.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification An improved multiclass LogitBoost using adaptive -one-vs-one

Reference 22

Resolution: verified exact; doi, observed 2026-08-06T14:59:13.975638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0d9f78d-f0f9-4de3-af4d-2de3eb8ae9b2 · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:13.597186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd103101-0f96-4012-8ec1-2ea91456a402 · outbound

This paper cites The HAM10000 dataset, a large collection of multi -sourcedermatoscopic images of common pigmented skin lesions.

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification The HAM10000 dataset, a large collection of multi -sourcedermatoscopic images of common pigmented skin lesions

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:13.688952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.