Latest AI and machine learning research in pathology for healthcare professionals.
Tissue phase mapping (TPM) is an MRI technique for quantification of regional biventricular myocardi...
Traditional Chinese medicine (TCM) formula is widely used for thousands of years in clinical practic...
Lung and colon cancers are deadly diseases that can develop simultaneously in organs and adversely a...
Recent advances in computational and algorithmic power are evolving the field of medical imaging rap...
Endometriosis is major gynecological disease that affects over 10% of women worldwide and 30%-50% of...
The proportion of robotic procedures continues to rise. The literature reinforces that robotic proc...
We report the ability of two deep learning-based decision systems to stratify non-small cell lung ca...
Onychomycosis is common. Diagnosis can be confirmed by various methods; a commonly used method is th...
BACKGROUND: Differentiating benign from malignant renal tumors is important for selection of the mos...
Hammour fish (grouper fish) are known to be of great nutritional value for human consumption, as the...
Accurate segmentation of breast masses is an essential step in computer aided diagnosis of breast ca...
Syndromic retinal diseases (SRDs) are a group of complex inherited systemic disorders, with challeng...
The real cause of breast cancer is very challenging to determine and therefore early detection of th...
OBJECTIVES: To build and validate deep learning and machine learning fusion models to classify benig...
Silver nanoparticles (AgNPs) are a common antimicrobial additive for a variety of applications, incl...
Image segmentation remains to be one of the most vital tasks in the area of computer vision and more...
Fast and simple detection of C-reactive protein (CRP) is highly significant for the diagnosis and pr...
BACKGROUND: Deep-learning algorithms (DLAs) have been used in artificial intelligence aided ultrason...
Histopathological images provide a gold standard for cancer recognition and diagnosis. Existing appr...
Traditionally, analysis of neuropathological markers in neurodegenerative diseases has relied on vis...
A multitude of efforts worldwide aim to create a single-cell reference map of the human body, for fu...