Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: The incidence of breast cancer ranks highest among cancers and is exceedingly heterogene...
Scar tissue is connective tissue formed on the wound during the wound-healing process. The most sign...
The application of computational biology in drug development for membrane protein targets has experi...
Leukocytes, also called White Blood Cells (WBCs) or leucocytes, are the cells that play a pivotal ro...
BACKGROUND: Mesenchymal epithelial transformation (MET) is a key molecular target for diagnosis and ...
PURPOSE: To validate the sensitivity and specificity of a 3-dimensional (3D) convolutional neural ne...
As precision oncology has become a major part of the treatment landscape in oncology, liquid biopsie...
Deep Learning (DL) can predict biomarkers from cancer histopathology. Several clinically approved ap...
Fluorescent Neuronal Cells v2 is a collection of fluorescence microscopy images and the correspondin...
Drowning diagnosis is a complicated process in the autopsy, even with the assistance of autopsy imag...
Blood-invasive fungal infections can cause the death of patients, while diagnosis of fungal infecti...
During the last years, the detection of different causes of death based on postmortem imaging findin...
Crohn's disease (CD) and intestinal tuberculosis (ITB) share similar histopathological characteristi...
Helicobacter pylori (H. pylori) is a widespread pathogenic bacterium, impacting over 4 billion indiv...
Artificial intelligence (AI)-assisted diagnosis is an ongoing revolution in pathology. However, a fr...
In intraoperative brain cancer procedures, real-time diagnosis is essential for ensuring safe and ef...
Early and accurate diagnosis of focal liver lesions is crucial for effective treatment and prognosis...
Fluorescence microscopy is essential for studying living cells, tissues and organisms. However, the ...
Paeonol (2-hydroxy-4-methoxyphenylacetophenone) is a natural phenolic component isolated from the ro...
BACKGROUND: Cone-beam computed tomography (CBCT) has been introduced for breast-specimen imaging to ...
Here, we summarize the literature relevant to recent advances in three-dimensional (3D) histopatholo...