Latest AI and machine learning research in pathology for healthcare professionals.
Recent advances in digital imaging has transformed computer vision and machine learning to new tools...
Alzheimers disease is characterized by complex changes in brain tissue including the accumulation of...
Segmentation of cell nuclei in fluorescence microscopy images provides valuable information about th...
The progression of cells through the cell cycle is a tightly regulated process and is known to be ke...
Gastric motility disorders are associated with bioelectrical abnormalities in the stomach. Recently,...
Using medical images recorded in clinical practice has the potential to be a game-changer in the app...
Automatic identification of subcellular compartments of proteins in fluorescence microscopy images i...
Fluorescence lifetime is effective in discriminating cancerous tissue from normal tissue, but conven...
Quantitative ultrasound estimates different intrinsic tissue properties, which can be used for tissu...
Cardiac biomechanical modelling is a promising new tool to be used in prognostic medicine and therap...
Peripheral nerve interfaces (PNIs) allow us to extract motor, sensory and autonomic information from...
Haptic feedback can render real-time force interactions with computer simulated objects. In several ...
The advent of intelligent image-activated cell sorting (iIACS) has enabled high-throughput intellige...
Multi-drug-resistant (MDR) infections and their devastating consequences constitute a global problem...
Analyses of nerve histology are core assays in basic and applied research and even in clinical setti...
To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to ...
The number of white blood cells in the leucorrhea microscopic image can indicate the severity of vag...
Analyses of nerve histology are core assays in basic and applied research and even in clinical setti...
The automated analysis of digitized immunohistochemistry microscope slides is usually a challenging ...
Recent advances in high-throughput single-cell RNA-seq have enabled us to measure thousands of gene ...
Automatic multi-classification of breast cancer histopathological images has remained one of the top...