Researchers at the UCLA Health Jonsson Comprehensive Cancer Center have developed a new platform that combines 3D bioprinting ...
Researchers at the UCLA Health Jonsson Comprehensive Cancer Center have developed a new platform that combines 3D bioprinting, advanced imaging and artificial intelligence to better monitor how cancer ...
Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening ...
Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis ...
Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...
A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...
From https://www.kaggle.com/ambarish/breakhis description: The Breast Cancer Histopathological Image Classification (BreakHis) is composed of 7,909 microscopic images ...
[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...
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