Latest AI and machine learning research in pathology for healthcare professionals.
Treatment of blood smears with Wright's stain is one of the most helpful tools in detecting white bl...
Exercise-induced pulmonary hemorrhage (EIPH) is a relevant respiratory disease in sport horses, whic...
Elasticity imaging is a technique that discovers the spatial distribution of mechanical properties o...
BACKGROUND: Upon the discovery of ovarian cysts, obstetricians, gynecologists, and ultrasound examin...
Computational cytology is a critical, rapid-developing, yet challenging topic in medical image compu...
Developing novel techniques for freshness assessment are of the utmost importance in yield and trade...
Brain tissue of Magnetic Resonance Imaging is precisely segmented and quantified, which aids in the ...
Biomedical ontologies are widely used to harmonize heterogeneous data and integrate large volumes of...
Intraoperative guidance tools for thyroid surgery based on optical coherence tomography (OCT) could ...
Although biopsy-based necrosis rate is a golden standard for reflecting the sensitivity of bone tumo...
Cranial window surgery allows for the imaging of brain tissue in live mice with the use of multiphot...
The efficient extraction of image data from curved tissue sheets embedded in volumetric imaging data...
Multiplexed immunofluorescence imaging allows the multidimensional molecular profiling of cellular e...
Non-alcoholic fatty liver disease (NAFLD) affects about 24% of the world's population. Progression o...
The implementation of robotic systems for minimally invasive surgery and medical procedures is an ac...
Although still in its infancy, artificial intelligence (AI) analysis of kidney biopsy images is anti...
Digital pathology coupled with advanced machine learning (e.g., deep learning) has been changing the...
RATIONALE AND OBJECTIVES: Programmed Death-Ligand 1 (PD-L1) is an important biomarker for patient se...
The purpose of this study was to realize an automated volume measurement of abdominal adipose tissue...
Spatial metabolomics describes the spatially resolved analysis of interconnected pathways, biochemic...
During the past 10 years, biological electron cryo-microscopy (cryoEM) has undergone a process of ra...