Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

Given the recent success of artificial intelligence (AI) in computer vision applications, many
pathologists anticipate that AI will be able to assist them in a variety of digital pathology …

Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …

Until recently, conventional biochemical staining had the undisputed status as well-
established benchmark for most biomedical problems related to clinical diagnostics …

In recent years, computational pathology has seen tremendous progress driven by deep
learning methods in segmentation and classification tasks aiding prognostic and diagnostic …

Expert microscopic analysis of cells obtained from frequent heart biopsies is vital for early
detection of pediatric heart transplant rejection to prevent heart failure. Detection of this rare …

Simple Summary The ability of cancer cells to evade the immunological response of the host
has been recognized as one of the hallmarks of cancer. Better understanding of this …

Generative adversarial networks (GAN) represent two deep learning (DL) models positioned
in an adversarial manner to generate and evaluate images. This area of research promises …

Even in the era of precision medicine, with various molecular tests based on omics
technologies available to improve the diagnosis process, microscopic analysis of images …

Precision medicine aims to provide personalized care based on individual patient
characteristics, rather than guideline-directed therapies for groups of diseases or patient …