Latest AI and machine learning research in pathology for healthcare professionals.
The recognition of denatured biological tissue is an indispensable part in the process of high inten...
BACKGROUND: Accurate segmentation and recognition algorithm of lung nodules has great important valu...
Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analy...
Modern technologies designed for tissue structure visualization like brightfield microscopy, fluores...
Rapid and high-resolution histological imaging with minimal tissue preparation has long been a chall...
The color variation of hematoxylin and eosin (H&E)-stained tissues has presented a challenge for app...
Automated methods for detecting prostate cancer and distinguishing indolent from aggressive disease ...
Transient receptor potential (TRP) channels are one primary type of calcium (Ca) permeable channels,...
In this study, the performance of machine learning in classifying parotid gland tumors based on diff...
BACKGROUND: The cytological analysis of bronchoalveolar lavage fluid (BALF) plays an essential role ...
OBJECTIVES: To evaluate the detection rate of clinically significant prostate cancer (csPCa) in Magn...
Non-obstructive azoospermia (NOA) is among the most severe factors for male infertility, but our und...
Monoclonal gammopathy of unknown significance (MGUS), smouldering multiple myeloma (SMM), and multip...
Ulcerative colitis (UC) is an immune-related disorder with enhanced prevalence globally. Early diagn...
BACKGROUND AND OBJECTIVE: Under the background of urgent need for computer-aided technology to provi...
BACKGROUND: Computer-aided diagnosis (CAD) systems based on medical images could support physicians ...
IMPORTANCE: Colorectal polyps are common, and their histopathologic classification is used in the pl...
At present, deep learning-based medical image diagnosis had achieved high performance in several dis...
Deep learning (DL) is a branch of machine learning and artificial intelligence that has been applied...
The diagnosis of solid tumors of epithelial origin (carcinomas) represents a major part of the workl...
Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft ...