Latest AI and machine learning research in pathology for healthcare professionals.
Immunohistochemistry (IHC) is essential in diagnostic pathology and biomedical research, offering ...
Immunohistochemical (IHC) staining serves as a valuable technique for detecting specific antigens ...
OBJECTIVE: To compare a deep learning (DL)-accelerated non-enhanced abbreviated MRI (AMRI) protocol ...
This document defines the key considerations for developing and reporting an artificial intelligence...
Background Standardized bone tumor reporting is crucial for consistent, risk-aligned patient managem...
Background Precise assessment of myocardial ischemia burden and cardiovascular risk stratification b...
Prostate cancer diagnosis heavily relies on histopathological evaluation, which is subject to vari...
Weakly supervised object localization (WSOL) methods allow training models to classify images and ...
Melanoma is the most lethal form of skin cancer, with an increasing incidence rate worldwide. Anal...
Three-dimensional (3D) reconstruction is time-consuming owing to segmentation work. We evaluated the...
Tissue detection is a crucial first step in most digital pathology applications. Details of the se...
Fluorescence microscopy, while being a key driver for progress in the life sciences, is also subje...
Non-human primates (NHPs) serve as critical models for understanding human brain function and neur...
Purpose: The distribution of visceral adipose tissue (VAT) in cystectomy patients is indicative of...
Breast cancer, the most common malignancy among women, requires precise detection and classificati...
Accurate segmentation of cell nuclei in histopathology images is essential for numerous biomedical...
Background: Renal chronicity indices (CI) have been identified as strong predictors of long-term o...
The development of biologically interpretable and explainable models remains a key challenge in co...
Histopathology slide digitization introduces scanner-induced domain shift that can significantly i...
High Content Screening (HCS) microscopy datasets have transformed the ability to profile cellular ...
The differentiation between pathological subtypes of non-small cell lung cancer (NSCLC) is an esse...