LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype - researchr publication authors

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Vivek Shankar, Xiaoli Yang, Vrishab Krishna, Brent Tan, Oscar Silva, Rebecca Rojansky, Andrew Y. Ng, Fabiola Valvert, Edward Briercheck, David Weinstock, Yasodha Natkunam, Sebastian Fernandez-Pol, Pranav Rajpurkar. LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype. In Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Tom Hartvigsen, Harvineet Singh, editors, Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA. Volume 225 of Proceedings of Machine Learning Research, pages 528-558, PMLR, 2023. [doi]

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