Enhancing image retrieval through optimal barcode representation
Abstract Data binary encoding has proven to be a versatile tool for optimizing data processing and memory efficiency in various…
H. R. Tizhoosh
Biased data, biased AI: deep networks predict the acquisition site of TCGA images
Abstract Background: Deep learning models applied to healthcare applications including digital pathology have been increasing their scope and importance in…
Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence
Abstract The emergence of digital pathology has opened new horizons for histopathology. Artificial intelligence (AI) algorithms are able to operate…