Latest AI and machine learning research in pathology for healthcare professionals.
Nucleic acid tests (NATs) are considered as gold standard in molecular diagnosis. To meet the demand...
In fission yeast (Schizosaccharomyces pombe), cell length is a crucial indicator of cell cycle progr...
Quantification of lymphoid aggregates including tertiary lymphoid structures (TLS) with germinal cen...
Purpose To evaluate and compare the performance of different artificial intelligence (AI) models in ...
Many reflexologists employ outdated concepts that do not align with modern anatomy, physiology, and ...
BACKGROUND: Superficial fungal infections are among the most common infections in world, they mainly...
Brain tumours are a leading cause of death and disability, impacting individuals across all ages, ge...
Dysregulated mitophagy is essential for mitochondrial quality control within human cancers. However,...
Pre-implantation genetic testing for aneuploidy (PGT-A) via embryo biopsy helps in embryo selection ...
Recent studies have revealed that deep neural networks (DNNs) are susceptible to backdoor attacks, i...
Fluorescence microscopy is a key method for the visualization of cellular, subcellular, and molecula...
Although omics and multi-omics approaches are the most used methods to create signature arrays for l...
Tissue semantic segmentation is one of the key tasks in computational pathology. To avoid the expe...
Hirschsprung's disease (HD) is a congenital birth defect diagnosed by identifying the lack of gang...
Deep learning models (DLMs) frequently achieve accurate segmentation and classification of tumors ...
Gastric tumors are neoplastic lesions that occur in the stomach, posing a great threat to human heal...
Tumor synthesis can generate examples that AI often misses or over-detects, improving AI performan...
Breast cancer detection based on pre-trained convolution neural network (CNN) has gained much inte...
Lung and colon cancers are predominant contributors to cancer mortality. Early and accurate diagno...
Large language models (LLMs) have achieved record adoption in a short period of time across many d...
With the rapid development of deep learning and computer vision technologies, medical image segmen...