M
Michael A. Marchetti
Researcher at Memorial Sloan Kettering Cancer Center
Publications - 135
Citations - 4260
Michael A. Marchetti is an academic researcher from Memorial Sloan Kettering Cancer Center. The author has contributed to research in topics: Medicine & Melanoma. The author has an hindex of 20, co-authored 113 publications receiving 2596 citations. Previous affiliations of Michael A. Marchetti include University of Virginia & Cornell University.
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Proceedings ArticleDOI
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)
Noel C. F. Codella,David A. Gutman,M. Emre Celebi,Brian Helba,Michael A. Marchetti,Stephen W. Dusza,Aadi Kalloo,Konstantinos Liopyris,Nabin K. Mishra,Harald Kittler,Allan C. Halpern +10 more
TL;DR: The most recent edition of the dermoscopic image analysis benchmark challenge as discussed by the authors was organized to support research and development of algorithms for automated diagnosis of melanoma, the most lethal skin cancer.
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Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
Noel C. F. Codella,Veronica Rotemberg,Philipp Tschandl,M. Emre Celebi,Stephen W. Dusza,David A. Gutman,Brian Helba,Aadi Kalloo,Konstantinos Liopyris,Michael A. Marchetti,Harald Kittler,Allan C. Halpern +11 more
TL;DR: This work summarizes the results of the largest skin image analysis challenge in the world, hosted by the International Skin Imaging Collaboration (ISIC), a global partnership that has organized the world's largest public repository of dermoscopic images of skin.
Journal ArticleDOI
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study.
Philipp Tschandl,Noel C. F. Codella,Bengü Nisa Akay,Giuseppe Argenziano,Ralph P. Braun,Horacio Cabo,David A. Gutman,Allan C. Halpern,Brian Helba,Rainer Hofmann-Wellenhof,Aimilios Lallas,Jan Lapins,Caterina Longo,Josep Malvehy,Josep Malvehy,Michael A. Marchetti,Ashfaq A. Marghoob,Scott W. Menzies,Amanda Oakley,John Paoli,Susana Puig,Susana Puig,Christoph Rinner,Cliff Rosendahl,Alon Scope,Christoph Sinz,H. Peter Soyer,Luc Thomas,Iris Zalaudek,Harald Kittler +29 more
TL;DR: State-of-the-art machine-learning classifiers outperformed human experts in the diagnosis of pigmented skin lesions and should have a more important role in clinical practice.
Journal ArticleDOI
Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images
Michael A. Marchetti,Noel C. F. Codella,Stephen W. Dusza,David A. Gutman,Brian Helba,Aadi Kalloo,Nabin K. Mishra,Cristina Carrera,M. Emre Celebi,Jennifer DeFazio,Natalia Jaimes,Ashfaq A. Marghoob,Elizabeth A. Quigley,Alon Scope,Alon Scope,Oriol Yélamos,Allan C. Halpern +16 more
TL;DR: Deep learning computer vision systems classified melanoma dermoscopy images with accuracy that exceeded some but not all dermatologists, as well as combining individual automated predictions into “fusion” algorithms.
Proceedings Article
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)
Noel C. F. Codella,David A. Gutman,M. Emre Celebi,Brian Helba,Michael A. Marchetti,Stephen W. Dusza,Aadi Kalloo,Konstantinos Liopyris,Nabin K. Mishra,Harald Kittler,Allan C. Halpern +10 more
TL;DR: The melanoma diagnosis in dermoscopic images was addressed by the Dermoscope Image Analysis Benchmark Challenge (DIAB) as discussed by the authors, which was divided into sub-challenges for each task involved in image analysis, including lesion segmentation, feature detection within a lesion and classification of melanoma.