Latest AI and machine learning research in pathology for healthcare professionals.
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 ...
Multi-modal prompt learning is a high-performance and cost-effective learning paradigm, which learns...
Pathology image are essential for accurately interpreting lesion cells in cytopathology screening, b...
BACKGROUND: Oral epithelial dysplasia (OED) poses a significant clinical challenge due to its potent...
The human-brain is a vital and complicated organ within the body. Identifying brain-related diseases...
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 ...
Virtual histopathology is an emerging technology in medical imaging that utilizes advanced computati...
Ultrasonography (US) of thyroid nodules is often time consuming and may be inconsistent between obse...