AIMC Topic: Periodic Acid

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Stain-Independent Deep Learning-Based Analysis of Digital Kidney Histopathology.

The American journal of pathology Oct 26, 2022
Convolutional neural network (CNN)-based image analysis applications in digital pathology (eg, tissue segmentation) require a large amount of annotated data and are mostly trained and applicable on a single stain. Here, a novel concept based on stain...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Kidney Coloring Agents Periodic Acid
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Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 12, 2022
The growing availability of scanned whole-slide images (WSIs) has allowed nephropathology to open new possibilities for medical decision-making over high-resolution images. Diagnosis of renal WSIs includes locating and identifying specific structures...
Neural Networks, Computer Image Processing, Computer-Assisted Staining and Labeling Kidney Coloring Agents Periodic Acid
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Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology.

Journal of the American Society of Nephrology : JASN Nov 5, 2020
BACKGROUND: Nephropathologic analyses provide important outcomes-related data in experiments with the animal models that are essential for understanding kidney disease pathophysiology. Precision medicine increases the demand for quantitative, unbiase...
Neural Networks, Computer Algorithms Reproducibility of Results Animals Male Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Mice Kidney Disease Models, Animal Mice, Inbred C57BL Kidney Diseases Kidney Glomerulus Translational Research, Biomedical Schiff Bases Pattern Recognition, Automated Periodic Acid
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