Latest AI and machine learning research in pathology for healthcare professionals.
The treatment of inflammatory skin conditions relies on a deep understanding of how drugs and tissue...
BACKGROUND/PURPOSE: Computer-assisted tissue imaging and analytical techniques were used to clarify ...
PURPOSE: Needle placement is a challenging problem for applications such as biopsy or brachytherapy....
OBJECTIVE: To develop and test the ability of a convolutional neural network (CNN) to accurately ide...
BACKGROUND: Adequate cytology is limited by insufficient cytologists in a large-scale cervical cance...
While many pre-defined computed tomographic (CT) measures have been utilized to characterize chronic...
Microsurgical tools offer a path to less invasive clinical procedures with improved access, reduced ...
BACKGROUND: In the face of rapid technological advances in computational cytology including artifici...
PURPOSE: Glioblastoma (GBM) is one of the deadliest cancers with no cure. While conventional MRI has...
In the gastroenterology field, the impact of artificial intelligence was investigated for the purpos...
OBJECTIVE: Complex phenotypes captured on histological slides represent the biological processes at ...
There is a rapidly growing demand for female animals in preclinical animal, and thus it is necessary...
Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. ...
Semisolid magnetization transfer contrast (MTC) and chemical exchange saturation transfer (CEST) MRI...
Background Deep learning has presented considerable potential and is gaining more importance in comp...
OBJECTIVE: Diagnosis and treatment of Ménière's disease remains a significant challenge because of o...
This systematic review analyses and describes the application and diagnostic accuracy of Artificial ...
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for ...
BACKGROUND: Automated classification of glomerular pathological findings is potentially beneficial i...
Object segmentation is an important step in the workflow of computational pathology. Deep learning b...
Scar tissues have been important factors in determining the progression of myocardial diseases and t...