Histopathology Image

Histopathology image analysis focuses on extracting meaningful information from microscopic images of tissue samples, primarily for disease diagnosis and prognosis. Current research heavily utilizes deep learning, employing convolutional neural networks (CNNs), vision transformers (ViTs), and diffusion models for tasks such as image classification, segmentation, super-resolution, and cross-modality translation (e.g., H&E to IHC). These advancements aim to improve diagnostic accuracy, efficiency, and personalization of treatment, impacting both clinical practice and biomedical research by enabling more precise and objective assessments of tissue samples.