Abstract Due to insufficient sensitivity of mammography in dense breasts, ultrasonography and MRI have been incorporated into breast screening, despite…
Abstract Cancer is a heterogeneous disease requiring costly genetic profiling for better understanding and management. Recent advances in deep learning…
Abstract Programmed cell death ligand 1 (PDL1), as an important biomarker, is quantified by immunohistochemistry (IHC) with few established histopathological…
Abstract Background: The objective of this comprehensive pan-cancer study is to evaluate the potential of deep learning (DL) for molecular…
Abstract The age of precision medicine demands powerful computational techniques to handle high-dimensional patient data. We present MultiSurv, a multimodal…
Abstract There have been substantial efforts in using deep learning (DL) to diagnose cancer from digital images of pathology slides.…
Abstract The emergence of digital pathology has opened new horizons for histopathology. Artificial intelligence (AI) algorithms are able to operate…