Latest AI and machine learning research in pathology for healthcare professionals.
Metastasis is the leading cause of mortalities in cancer patients due to the spreading of cancer cel...
Intracorporeal anastomosis (IA) may improve outcomes compared with extracorporeal anastomosis (EA) i...
STUDY OBJECTIVE: Recent studies suggest that prolonged Trendelenburg positioning during robot-assist...
Cancer mortality is mostly related to metastasis. Metastasis is currently prognosed via histopatholo...
Deep neural networks have enabled astonishing transformations from low-resolution (LR) to super-reso...
Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and children. They...
A central question in developmental neurobiology is how neural stem and progenitor cells form the br...
The reconstructed skin micronucleus (RSMN) assay was developed in 2006, as an in vitro alternative f...
OBJECTIVE: Implantable technologies should be mechanically compliant with the tissue in order to max...
Probe-based confocal laser endomicroscopy (pCLE) is a promising imaging tool that provides in situ a...
Data processing and learning has become a spearhead for the advancement of medicine, with pathology ...
Traditional computer-aided diagnosis (CAD) processes include feature extraction, selection, and clas...
BACKGROUND AND OBJECTIVES: Histological analysis is a gold standard technique for studying impaired ...
Colorectal cancer (CRC) is the second leading cause of cancer-related mortality worldwide. In coping...
Pathologic analysis of surgical excision specimens for breast carcinoma is important to evaluate the...
Colorectal cancer (CRC) is the third most common type of cancer worldwide and the second most deadly...
BACKGROUND: New biomarkers of risk may improve breast cancer (BC) risk prediction. We developed a co...
A major limitation of screening breast ultrasound (US) is a substantial number of false-positive bio...
Assessment of renal function and structure accurately remains essential in the diagnosis and prognos...
OBJECTIVE: To automate the grading of histological images of engineered cartilage tissues using deep...