Latest AI and machine learning research in pathology for healthcare professionals.
Computer-coded verbal autopsy (CCVA) algorithms predict cause of death from high-dimensional family ...
This retrospective analysis was conducted on clinical obtained DCE-MR images of 198 patients, age fr...
To explore the performance of the attention-multiple instance learning (MIL) framework, an attentio...
In our recent transcriptomic meta-analysis, we used random forest machine learning to accurately pre...
The classic prostate cancer (PCa) diagnostic pathway that is based on prostate-specific antigen (PSA...
Radiomics refers to the extraction of mineable data from medical imaging and has been applied within...
Digital medicine has played a vital role in promoting the development of hepatobiliary and pancreati...
SIGNIFICANCE: In general, image reconstruction methods used in diffuse optical tomography (DOT) are ...
A 71-year-old man was referred to our hospital for treatment of a 2 cm-sized right renal mass incide...
Ovarian cancer is one of the three most common gynecological cancers in the world, and is regarded a...
Objective To develope a deep learning algorithm for pathological classification of chronic gastritis...
MOTIVATION: Organization of the organoid models, imaged in 3D with a confocal microscope, is an esse...
MOTIVATION: Microscopy technology plays important roles in many biological research fields. Solvent-...
Contrast-enhanced CT is an important method of preoperative diagnosis and evaluation for the malign...
Glioblastoma (GBM) is a common malignant brain tumor which often presents as a comorbidity with cent...
Convolutional neural network (CNN) has advanced in recent years and translated from research into me...
It is well known that the quantitative phase information which is vital in the biomedical study is h...
Colorectal cancer remains the 3rd most common cancer diagnosed among men and women in the United Sta...
Low specificity and operator dependency are the main problems of breast ultrasound (US) screening. W...
OBJECTIVE: This study proposes an automated classification of benign and malignant in highly integra...
Glomeruli instance segmentation from pathologic images is a fundamental step in the automatic analys...