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PANDA ConvNeXT
Prostate histopathological image classification model based on ConvNeXT architecture for ISUP grading
Downloads 15
Release Time : 5/24/2022
Model Overview
This model uses the ConvNeXT architecture to classify prostate histopathological images, specifically for ISUP grading tasks. The input consists of stitched WSI slice images with dimensions of 1152x1152 pixels.
Model Features
Medical image classification
Optimized specifically for ISUP grading tasks of prostate histopathological images
ConvNeXT architecture
Utilizes the modern ConvNeXT architecture, combining the advantages of CNNs and Transformers
WSI slice processing
Supports processing stitched WSI slices as input, with dimensions of 1152x1152 pixels
Model Capabilities
Medical image classification
Prostate cancer grading
Histopathological image analysis
Use Cases
Medical diagnosis
Prostate cancer ISUP grading
Automatically performs ISUP grading (0-5) on prostate histopathological images
Accuracy 54.91%, quadratic weighted Cohen's kappa coefficient 0.663
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