Imaging technologies are ubiquitous in our daily lives, from smartphone cameras to medical imaging devices, helping us capture images and perceive objects. However, when faced with complex ...
Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports Applications of deep learning to histopathology have proven capable of expert ...
Research finds using a large collection of simple, un-curated synthetic image generation programs to pretrain a computer vision model for image classification yields greater accuracy than employing ...
Deep learning-based unsupervised morphological subtyping in histopathology images of gastric cancer.
The mutational pattern of homologous recombination (HR) related genes and its relevance to response to immunotherapy in gastric cancer. Comparison of Cohen’s kappa score among pathologists and DLS.
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