A novel classification framework with three stages is proposed in this paper to locate and classify tumor region in the whole slide images.
A novel classification framework for analyzing whole slide breast histopathology images (WSI) was introduced.
Mar 7, 2024 · This review focuses on the use of deep learning algorithms for the detection and classification of breast cancer from histopathology images.
This review critically examines the transformative potential of integrating histopathology images with genomic data, clinical records, and patient histories
Whole Slide Images (WSI) are widely used in histopathology for research and the diagnosis of different types of cancer. The preparation and digitization of ...
Apr 13, 2022 · Our innovative DL-based system has a potential to simplify pathological screening for metastasis in breast cancer patients.
Mar 12, 2021 · We present an approach for predicting clinically-relevant molecular phenotypes from whole-slide histopathology images using human-interpretable image features ...
A dual cross-attention mechanism fused image features with genetic data to enhance predictive accuracy. The study utilized the TCGA-BRCA dataset, consisting of ...
Digitised pathology slides, otherwise known as whole slide images, can be analysed by pathologists with the same methods used to analyse traditional glass ...
Aug 18, 2024 · Deep learning models in histopathology divide whole slide images (WSIs) into patches, analyzing them at different magnifications to capture ...