Latest AI and machine learning research in pathology for healthcare professionals.
Machine learning models for the diagnosis of breast cancer can facilitate the prediction of cancer r...
BackgroundBreast cancer results from an uncontrolled growth of breast tissue. Many methods of diagno...
Cancer, a global health threat, demands effective diagnostic solutions to combat its impact on publi...
Neoadjuvant chemotherapy assessment is imperative for prognostication and clinical management of loc...
The ability to recover tissue deformation from surgical video is fundamental for many downstream app...
BACKGROUND: Deep learning has been used to classify basal cell carcinoma (BCC) on histopathologic im...
BACKGROUND: Ex vivo confocal laser scanning microscopy (EVCM) is an emerging imaging modality that e...
Mature B-cell neoplasms (MBNs) are clonal proliferative diseases encompassing over 40 subtypes. The ...
The latest developments combining deep learning technology and medical image data have attracted wid...
BACKGROUND: Targeted therapy for intrahepatic cholangiocarcinoma (ICC) shows superior survival outco...
Colorectal cancer (CRC) ranks as the third most prevalent tumor and the second leading cause of mort...
Quantitative infarct estimation is crucial for diagnosis, treatment and prognosis in acute ischemic ...
BACKGROUND: Oral epithelial dysplasia (OED) poses a significant clinical challenge due to its potent...
The second most common malignant tumour in women worldwide, cervical cancer seriously jeopardizes th...
BACKGROUND: The histological assessment of colorectal precancer and cancer lesions is challenging an...
This paper aims to address the pressing issue of melanoma classification by leveraging advanced neur...
BACKGROUND: Breast cancer (BC) is caused by the uncontrolled proliferation of breast epithelial cell...
The morphological diagnosis of thyroid gland neoplasms presents a dual challenge: it requires the ex...
Histopathological tissue classification is a fundamental task in computational pathology. Deep learn...
BACKGROUND:  Lung cancer is the most prevalent and lethal cancer globally, necessitating accurate di...
Machine learning (ML) is currently being widely studied and applied in data analysis and prediction ...