Latest AI and machine learning research in pathology for healthcare professionals.
Pathology analysis is crucial to precise cancer diagnoses and the succeeding treatment plan as well....
RATIONALE AND OBJECTIVES: Accurate pretreatment assessment of histological differentiation grade of ...
It is more than a decade since machine learning and especially its leading subtype deep learning hav...
Digital imaging, including the use of artificial intelligence, has been increasingly applied to inve...
Cybersecurity is one of the great challenges of today's world. Rapid technological development has a...
The effective biopsy of pulmonary nodules is crucial to early diagnosis and consequent effective tre...
Histopathology is the gold standard for disease diagnosis. The use of digital histology on fresh sam...
BACKGROUND: Glycolysis-related genes as prognostic markers in malignant pleural mesothelioma (MPM) i...
Artificial intelligence (AI) research began in theoretical neurophysiology, and the resulting classi...
Recently, researchers have introduced Transformer into medical image segmentation networks to encode...
The treatment and diagnosis of colon cancer are considered to be social and economic challenges due ...
OBJECTIVES: Deep learning algorithms have shown potential in streamlining difficult clinical decisio...
Role of memory in the function of biological tissues, organs and organisms remains unexplored with m...
BACKGROUND: Histological feature representation is advantageous for computer aided diagnosis (CAD) a...
Immunotherapy targeting immune checkpoint proteins, such as programmed cell death ligand 1 (PD-L1), ...
In intracytoplasmic sperm injection (ICSI), a single sperm cell is selected and injected into an egg...
Mitosis counting of biopsies is an important biomarker for breast cancer patients, which supports di...
BACKGROUND: The Robotic NICE procedure is a total intracorporeal natural orifice approach in which s...
Structural health monitoring (SHM) techniques often require a large number of sensors to evaluate an...
Accurately predicting patient survival is essential for cancer treatment decision. However, the prog...
Appearing traces of bias in deep networks is a serious reliability issue which can play a significan...