Latest AI and machine learning research in pathology for healthcare professionals.
Epicardial adipose tissue (EAT) is a visceral fat deposit related to coronary artery disease. Fully ...
Accurate segmentation of infant brain images into different regions of interest is one of the most i...
We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-b...
Ultrasound imaging is one of the most common visualizing tools used by radiologists to identify the ...
BACKGROUND AND OBJECTIVE: Development of machine assisted tools for automatic analysis of psoriasis ...
BACKGROUND AND OBJECTIVE: Early-stage diagnosis of laryngeal cancer is of primary importance to redu...
Mitotic count is a critical predictor of tumor aggressiveness in the breast cancer diagnosis. Nowada...
Deep learning (DL) is a popular method that is used to perform many important tasks in radiology and...
Most of the tools and diagnosis models of Masticatory Efficiency (ME) are not well documented or sev...
Big data are a major driver in the development of precision medicine. Efficient analysis methods are...
This paper addresses the problem of quantifying biomarkers in multi-stained tissues based on the col...
In view of the growing industrial use of Bacterial cellulose (BC), and taking into account that it m...
Malaria remains a major burden on global health, with roughly 200 million cases worldwide and more t...
BACKGROUND AND OBJECTIVE: In the biomedical field, digital multi-focal images are very important for...
BACKGROUND: Radiofrequency ablation (RFA), a method of inducing thermal ablation (cell death), is of...
Liver is the heaviest internal organ of the human body and performs many vital functions. Prolonged ...
Syndrome of inappropriate antidiuretic hormone secretion (SIADH) is the most common cause of euvolem...
Histopathological image classification is one of the most important steps for disease diagnosis. We ...
Cesarean scar ectopic pregnancies and molar pregnancies are two very rare obstetric pathologies. In ...
T-cells, second only to macrophages, are often considered as the potential cells involved in debris-...
The noninvasive, fast acquisition of quantitative phase maps using digital holographic microscopy (D...