Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:25:09.270430Z
Paper Citation Record · LEDGER
Cepstrum-Based Texture Features for Melanoma Detection
As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2509.00669.
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 2026-08-08T06:32:00.761636+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
17 of 17 outbound references displayed
- verified exact0
- verified fuzzy15
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a58e74b9-7d0a-448b-ae17-9026d4ca286a · outbound
This paper cites The Quefrency Alanysis [sic] of Time Series for Echoes: Cepstrum, Pseudo Autocovariance, Cross-Cepstrum and Saphe Cracking,.
Cepstrum-Based Texture Features for Melanoma Detection The Quefrency Alanysis [sic] of Time Series for Echoes: Cepstrum, Pseudo Autocovariance, Cross-Cepstrum and Saphe Cracking,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.895106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3eadb73b-3296-4d60-a66e-26dd11c2dcfb · outbound
This paper cites Nonlinear filtering of multiplied and convolved signals,.
Cepstrum-Based Texture Features for Melanoma Detection Nonlinear filtering of multiplied and convolved signals,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.884834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b72183b4-c53e-4779-988d-7f2902a2b1dc · outbound
This paper cites Novel Mixed Domain Hand-Crafted Features for Skin Disease Recognition Using Multiheaded CNN,.
Cepstrum-Based Texture Features for Melanoma Detection Novel Mixed Domain Hand-Crafted Features for Skin Disease Recognition Using Multiheaded CNN,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.875157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9b16019b-c98b-4518-9975-fd188c1daf77 · outbound
This paper cites Textural Features for Image Classification,.
Cepstrum-Based Texture Features for Melanoma Detection Textural Features for Image Classification,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.866090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 15dfeb44-1c2b-47db-84bc-fe708f7654f5 · outbound
This paper cites Deep learning and handcrafted method fusion: Higher diagnostic accuracy for melanoma dermoscopy images,.
Cepstrum-Based Texture Features for Melanoma Detection Deep learning and handcrafted method fusion: Higher diagnostic accuracy for melanoma dermoscopy images,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.856428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation bc64a475-0a41-4237-b484-e5c8b1d9532a · outbound
This paper cites The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,.
Cepstrum-Based Texture Features for Melanoma Detection The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.846490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cddea604-caa0-48d3-9224-afe7f68a1bcb · outbound
This paper cites Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC).
Cepstrum-Based Texture Features for Melanoma Detection Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:08.051367Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b57e078d-74c3-437f-adcc-f3d21c0a6664 · outbound
This paper cites BCN20000: Dermoscopic Lesions in the Wild.
Cepstrum-Based Texture Features for Melanoma Detection BCN20000: Dermoscopic Lesions in the Wild
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:08.133622Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cfaca09-fb02-42c8-803b-cb1771eccb94 · outbound
This paper cites Deep Learning Techniques for Image Segmentation in Dermoscopic Skin Cancer Images,.
Cepstrum-Based Texture Features for Melanoma Detection Deep Learning Techniques for Image Segmentation in Dermoscopic Skin Cancer Images,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.836350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a3963b35-e5fa-4ac5-9eb3-47b30131caee · outbound
This paper cites Grey Level Co-Occurrence Matrices: Generalisation and Some New Features,.
Cepstrum-Based Texture Features for Melanoma Detection Grey Level Co-Occurrence Matrices: Generalisation and Some New Features,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.826262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c8a5ccbb-546b-4216-888e-be4eee944f5d · outbound
This paper cites Mahotas: Open source software for scriptable computer vision,.
Cepstrum-Based Texture Features for Melanoma Detection Mahotas: Open source software for scriptable computer vision,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.638054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8f6e8976-4194-4143-9a74-db1ce91b5754 · outbound
This paper cites Implication and Applications of Machine Learning on Biomedical Images,.
Cepstrum-Based Texture Features for Melanoma Detection Implication and Applications of Machine Learning on Biomedical Images,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.442594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b6f1ec32-14b1-4b3c-b1fe-0efe71386eba · outbound
This paper cites The Median Split Algorithm for Detection of Critical Melanoma Color Features,.
Cepstrum-Based Texture Features for Melanoma Detection The Median Split Algorithm for Detection of Critical Melanoma Color Features,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.235860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 792bb12c-009e-4831-b80f-e89f7169d861 · outbound
This paper cites Automated classification of malignant melanoma based on detection of atypical pigment network in dermoscopy images of skin lesions,.
Cepstrum-Based Texture Features for Melanoma Detection Automated classification of malignant melanoma based on detection of atypical pigment network in dermoscopy images of skin lesions,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:10.043460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0984f8a1-e8e3-463e-9823-aef3c7b2e050 · outbound
This paper cites Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location,.
Cepstrum-Based Texture Features for Melanoma Detection Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:09.809670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ef68a145-ff9f-4812-b3df-8c320094237d · outbound
This paper cites A deep learning approach to detect blood vessels in basal cell carcinoma,.
Cepstrum-Based Texture Features for Melanoma Detection A deep learning approach to detect blood vessels in basal cell carcinoma,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:09.612976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0bc8444a-fa58-44b9-a1c6-d094f4a684a2 · outbound
This paper cites Detection of basal cell carcinoma using color and histogram measures of semitranslucent areas,.
Cepstrum-Based Texture Features for Melanoma Detection Detection of basal cell carcinoma using color and histogram measures of semitranslucent areas,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:09.459324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.