Latest AI and machine learning research in pathology for healthcare professionals.
While essential to our understanding of solid tumor progression, the study of cell and tissue mechan...
Accurate measurement of brain structures is essential for the evaluation of neonatal brain growth an...
Artificial intelligence (AI) can predict the presence of molecular alterations directly from routine...
In bearing fault diagnosis, due to the insufficient obtained supervised data and the inevitable nois...
The detection of tiny objects in microscopic videos is a problematic point, especially in large-scal...
BACKGROUND: Composition of tissue types within a wound is a useful indicator of its healing progress...
Molecular tests are necessary to stratify cancer patients for targeted therapy. However, high cost a...
Oral squamous cell carcinoma (OSCC) is prevalent around the world and is associated with poor progno...
Precision oncology relies on the identification of targetable molecular alterations in tumor tissues...
The class distribution of a training dataset is an important factor which influences the performance...
Tissue biomanufacturing aims to produce lab-grown stem cell grafts and biomimetic drug testing platf...
BACKGROUND: Transplant nephropathology is a highly specialized field of pathology comprising both th...
Fifty-four slaughtered horses were classified into groups having adipose tissue in the crest of the ...
Skin cancer is one of the most common diseases that can be initially detected by visual observation ...
Neurosurgery is mainly for the treatment of head trauma, cerebrovascular disease, brain tumors, and ...
BACKGROUND: Traditional histopathologic evaluation of peripheral nerve using brightfield microscopy ...
Automated classification and detection of brain abnormalities like a tumor(s) in reconstructed micro...
Combining experiments with artificial intelligence algorithms, we propose a machine learning based a...
Hepatocellular carcinomas (HCCs) are aggressive tumors with a poor prognosis. Approved first-line tr...
BACKGROUND: Artificial intelligence using computer-aided diagnosis (CADx) in real time with images a...
Background Deep learning (DL) algorithms could improve the classification of ovarian tumors assessed...