Latest AI and machine learning research in pathology for healthcare professionals.
Histopathologic grading of prostate cancer using Gleason patterns (GPs) is subject to a large inter-...
Neuropathologists assess vast brain areas to identify diverse and subtly-differentiated morphologies...
Detection of masses and micro calcifications are a stimulating task for radiologists in digital mamm...
White blood cell (WBC) differential counting is an established clinical routine to assess patient im...
Severe spinal cord injury (SCI) leads to skeletal muscle atrophy and adipose tissue infiltration in ...
We have developed a computer-aided diagnosis system based on a convolutional neural network that aim...
Celiac disease is a genetic disease affecting people of all ages, resulting in small intestine ente...
The diagnosis of pancreatic cystic lesions remains challenging. This study aimed to investigate the ...
Streptococcus gallolyticus (S. gallolyticus) bacteremia is commonly associated with endocarditis and...
Benign strictures of the esophagus are commonly encountered in clinical practice and are difficult ...
Rapid classification of tumors that are detected in the medical images is of great importance in the...
PURPOSE: Lung nodules have very diverse shapes and sizes, which makes classifying them as benign/mal...
Robust and reproducible profiling of cell lines is essential for phenotypic screening assays. The go...
Accurate measuring of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) is vital f...
The accurate quantification of left ventricular (LV) deformation/strain shows significant promise fo...
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosar...
BACKGROUND: The postmortem microbiome can provide valuable information to a death investigation and ...
Maximal resection of tumor while preserving the adjacent healthy tissue is particularly important fo...
We previously reported a system for assessing rejection in kidney transplant biopsies using microarr...
Digital pathology and microscope image analysis is widely used in comprehensive studies of cell morp...
Cell classification based on phenotypical, spatial, and genetic information greatly advances our und...