Latest AI and machine learning research in pathology for healthcare professionals.
Supersonic shear-wave elastography (SWE) has emerged as a useful imaging modality for breast lesion ...
Chlorpyrifos (CPF) is a broad spectrum organophosphate pesticide used for agricultural health purpos...
Benign Prostatic Hyperplasia (BPH) affects, worldwide, 50% of 60-year-old men. The Peruvian plant re...
formerly named and ' Rickettsia amblyommii' is an intracellular bacterium belonging to the spotted...
OBJECTIVE: The aim of this study was to investigate the clinicopathological and immunohistochemical ...
A molecular robot is a next-generation biochemical machine that imitates the actions of microorganis...
Neutrophils are one of the first cells to arrive at the site of infection, where they apply several ...
BACKGROUND AND OBJECTIVE: Detection of metastatic tumor cells is important for early diagnosis and s...
BACKGROUND/AIMS: Renal biopsy is the gold standard to determine the pathologic type of primary nephr...
Gliomas are the most common type of tumor in the brain. Although the definite diagnosis is routinely...
Computerized microscopy image analysis plays an important role in computer aided diagnosis and progn...
UNLABELLED: Nuclei detection in histology images is an essential part of computer aided diagnosis of...
MicroRNAs are small gene-regulatory RNAs that are found in various biological fluids, including milk...
In a group of 22 healthy pigs aged between 4 and 6Â months, 2 pigs became ill with high fever, comple...
The 3D convolutional neural network (CNN) is able to make full use of the spatial 3D context informa...
Estimation of the stress distribution in ferromagnetic components is very important for evaluating t...
BACKGROUND AND PURPOSE: This study explored the association between a single-nucleotide polymorphism...
Prostate cancer (PCa) is a major cause of death since ancient time documented in Egyptian Ptolemaic ...
The development of a novel flexible and ultrasensitive aptasensor based on carboxylated multiwalled ...
Transfer learning in deep convolutional neural networks (DCNNs) is an important step in its applicat...
A 37-year-old woman presented with progressive longitudinal erythronychia and onychorrhexis of the t...