Latest AI and machine learning research in pathology for healthcare professionals.
Colorectal cancer (CRC) a leading cause of death by cancer, and screening programs for its early ide...
In this research, we exploited the deep learning framework to differentiate the distinctive types of...
We describe an automated methodology for the analysis of unregistered cranio-caudal (CC) and medio-l...
BACKGROUND: Fine-needle aspiration (FNA) biopsy is an accurate method for the diagnosis of solid pan...
The development of breast cancer is influenced by the adipose tissue through the proteins leptin and...
The use of liquid crystalline (LC) gel formulations for drug delivery has considerably improved the...
Frozen section is widely used for intraoperative pathological diagnosis (IOPD), which is essential f...
PURPOSE: Cell nuclei classification in breast cancer histopathology images plays an important role i...
BACKGROUND: The morphometric analysis of myelinated nerve fibers of peripheral nerves in cross-secti...
Lung cancer is one of the most common malignancies and has a low 5-year survival rate. There are no ...
In contrast to patients with viral hepatitis, patients with nonalcoholic fatty liver disease (NAFLD)...
Lung cancer is the most common cancer that cannot be ignored and cause death with late health care. ...
Breast lesion detection using ultrasound imaging is considered an important step of computer-aided d...
Establishing early warning systems for anthrax attacks is crucial in biodefense. Despite numerous st...
The benefit of adding sentinel node biopsy (SNB) to extended pelvic lymph node dissection (ePLND) re...
Microcystins (MCs) are included in drinking water and a family of cyclic heptapeptide hepatotoxins t...
Hepatic fibrosis is a common middle stage of the pathological processes of chronic liver diseases. C...
OBJECTIVE: Active surveillance (AS) offers a strategy to reduce overtreatment and now is a widely ac...
Aldosterone-producing adenoma (APA), a subtype of primary aldosteronism, is a common cause of second...
In this paper, we develop a new weakly supervised learning algorithm to learn to segment cancerous r...
BACKGROUND: Visual inspection of cardiotocography traces by obstetricians and midwives is the gold s...