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Convolutional Neural Networks have demonstrated human-level performance in the classification of melanoma and other skin lesions, but evident performance disparities between differing skin tones should be addressed before widespread deployment.
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels, August 2020
Lu Jiang, Di Huang, Mason Liu, and Weilong Yang · 1911
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The Validity and Practicality of Sun-Reactive Skin Types I Through VI
Thomas B. Fitzpatrick · 1988
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Interactive Atlas of Dermoscopy: 2000, Edra Medical Publishing and New Media. 208 pages
Peter A. Lio and Paul Nghiem · 2004
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Racial Differences in Survival after Surgical Treatment for Melanoma
Karen Kadela Collins, Ryan C. Fields, Dadrie Baptiste, Ying Liu, Jeffrey Moley, and Donna B. Jeffe · 2011
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Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng, Judy Hoffman, Trevor Darrell, and Kate Saenko · 2015
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Deep Residual Learning for Image Recognition
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Rethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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Domain-Adversarial Training of Neural Networks
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Densely Connected Convolutional Networks
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Aggregated Residual Transformations for Deep Neural Networks
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
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Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
Joy Buolamwini and Timnit Gebru · 2018
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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 Gutman, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Stephen W. Dusza, Aadi Kalloo, Konstantinos Liopyris, Nabin Mishra, Harald Kittler, and Allan Halpern · 2018
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Man against machine: Diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
H.A. Haenssle, C. Fink, R. Schneiderbauer, F. Toberer, T. Buhl, A. Blum, A. Kalloo, et al · 2018
Comparing artificial intelligence algorithms to 157 German dermatologists: The melanoma classification benchmark
Titus J. Brinker and et al. Hekler, Achim · 2019
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Learning Not to Learn: Training Deep Neural Networks With Biased Data
Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, and Junmo Kim · 2019
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Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets
Newton M Kinyanjui, Timothy Odonga, Celia Cintas, Noel C F Codella, Rameswar Panda, Prasanna Sattigeri, and Kush R Varshney · 2019
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PyTorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan and Quoc V Le · 2019
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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm
Seung Seog Han, Myoung Shin Kim, Woohyung Lim, Gyeong Hun Park, Ilwoo Park, and Sung Eun Chang · 2018
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Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
Mohsan Alvi, Andrew Zisserman, and Christoffer Nellåker · 2019
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A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task
Titus J. Brinker, Achim Hekler, Alexander H. Enk, Joachim Klode, Axel Hauschild, Carola Berking, Bastian Schilling, Sebastian Haferkamp, Dirk Schadendorf, Stefan Fröhling, Jochen S. Utikal, Christof von Kalle, and Collaborators · 2019
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Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, and Omar Badri · 2021
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A patient-centric dataset of images and metadata for identifying melanomas using clinical context
Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, Liam Caffery, Emmanouil Chousakos, Noel Codella, Marc Combalia, Stephen Dusza, Pascale Guitera, David Gutman, Allan Halpern, Brian Helba, Harald Kittler, Kivanc Kose, Steve Langer, Konstantinos Lioprys, Josep Malvehy, Shenara Musthaq, Jabpani Nanda, Ofer Reiter, George Shih, Alexander Stratigos, Philipp Tschandl, Jochen Weber, and H. Peter Soyer · 2021
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