Artificial intelligence techniques for neuropathological diagnostics and research
Artificial intelligence (AI) research began in theoretical neurophysiology, and the resulting
classical paper on the McCulloch‐Pitts mathematical neuron was written in a psychiatry …
classical paper on the McCulloch‐Pitts mathematical neuron was written in a psychiatry …
An open-source AI framework for the analysis of single cells in whole-slide images with a note on CD276 in glioblastoma
Simple Summary We present a workflow for the artificial intelligence (AI)-based profiling of
individual cells in whole-slide scans of histological tissue sections. We have extended the …
individual cells in whole-slide scans of histological tissue sections. We have extended the …
PathoFusion: an open-source AI framework for recognition of pathomorphological features and map** of immunohistochemical data
Simple Summary We present an open-source AI framework for marking, training, and
automated recognition of pathological features in whole-slide scans of diagnostic tissue …
automated recognition of pathological features in whole-slide scans of diagnostic tissue …
PathoGraph: An Attention-Based Graph Neural Network Capable of Prognostication Based on CD276 Labelling of Malignant Glioma Cells
Simple Summary We have developed a graph-and attention-based AI model (PathoGraph)
that predicts survival and identifies tissue areas of special diagnostic interest in whole slide …
that predicts survival and identifies tissue areas of special diagnostic interest in whole slide …
Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification
Recent studies have demonstrated the diagnostic and prognostic values of global
glomerulosclerosis (GGS) in IgA nephropathy, aging, and end-stage renal disease …
glomerulosclerosis (GGS) in IgA nephropathy, aging, and end-stage renal disease …