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Deep Learning and Its Applications in Computational Pathology
2022
BioMedInformatics
Deep learning techniques, such as convolutional neural networks (CNNs), generative adversarial networks (GANs), and graph neural networks (GNNs) have, over the past decade, changed the accuracy of prediction in many diverse fields. In recent years, the application of deep learning techniques in computer vision tasks in pathology has demonstrated extraordinary potential in assisting clinicians, automating diagnoses, and reducing costs for patients. Formerly unknown pathological evidence, such as
doi:10.3390/biomedinformatics2010010
fatcat:bagnt7eqgnelhnkj5dq7i4bjdu