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Noel Codella

Showing results (11-20 of 15) with videos related to

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Research Square|June 29, 2026
Challenges in AI Based Tumor Board Case Summarization and RecommendationsWen-Wai Yim, Hendrik Damm, Tabea M G Pakull, et al.
Scientific Data|January 29, 2021
A patient-centric dataset of images and metadata for identifying melanomas using clinical contextVeronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
Scientific Data|March 6, 2021
Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical contextVeronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
Scientific Data|March 17, 2021
Publisher Correction: Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical contextVeronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
The Lancet. Oncology|June 16, 2019
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic studyPhilipp Tschandl, Noel Codella, Bengü Nisa Akay, et al.
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Showing results (11-20 of 15) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 15 results.
Research Square|June 29, 2026
Challenges in AI Based Tumor Board Case Summarization and RecommendationsWen-Wai Yim, Hendrik Damm, Tabea M G Pakull, et al.
Scientific Data|January 29, 2021
A patient-centric dataset of images and metadata for identifying melanomas using clinical contextVeronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
Scientific Data|March 6, 2021
Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical contextVeronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
Scientific Data|March 17, 2021
Publisher Correction: Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical contextVeronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
The Lancet. Oncology|June 16, 2019
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic studyPhilipp Tschandl, Noel Codella, Bengü Nisa Akay, et al.
Pageof 2