Latest AI and machine learning research in pathology for healthcare professionals.
Digital technology has been used in the field of diagnostic breast pathology and immunohistochemistr...
Automated synthesis of histology images has several potential applications including the development...
The spread of early-stage (T1 and T2) adenocarcinomas to locoregional lymph nodes is a key event in ...
PURPOSE: To develop and evaluate the colposcopy based deep learning model using all kinds of cervica...
Invertebrate biodiversity remains poorly understood although it comprises much of the terrestrial an...
Semi-quantitative scoring is a method that is widely used to estimate the quantity of proteins on ch...
Synchronously detecting multiple Raman spectral signatures in two-dimensional/three-dimensional (2D/...
With the remarkable success of representation learning for prediction problems, we have witnessed a ...
Conventional deep learning (DL) algorithm requires full supervision of annotating the region of inte...
Accurate cancer detection and diagnosis is of utmost importance for reliable drug-response predictio...
In this study, we investigated the antiviral activity of lyophilized crude leaf extracts of the Phil...
Infliximab (IFX) is an effective medication for ulcerative colitis (UC) patients. However, one-third...
Abnormal tau inclusions are hallmarks of Alzheimer's disease and predictors of clinical decline. Sev...
The segmentation and extraction of brain tissue in magnetic resonance imaging (MRI) is a meaningful ...
OBJECTIVES: Artificial intelligence (AI) is increasingly used in medicine, but data on benign prosta...
OBJECTIVES: To evaluate CT-derived radiomics for machine learning-based classification of thymic epi...
Pelvic organ prolapse is a worldwide health problem to elderly women. Understanding its pathogenesis...
Cerenkov luminescence imaging (CLI) was successfully implemented in the intraoperative context as a ...
Detecting the presence of prostate cancer (PCa) and distinguishing low- or intermediate-risk disease...
Female accounts for approximately 50% of the total population worldwide and many of them had breast ...
This study aimed to assess the diagnostic performance of deep convolutional neural networks (DCNNs) ...