README.md

metadata

tags:
  - image-classification
  - pytorch
metrics:
  - accuracy
  - Cohen's Kappa
model-index:
  - name: PANDA_ConvNeXT
    results:
      - task:
          name: Image Classification
          type: image-classification
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.5491307377815247
          - name: Quadratic Cohen's Kappa
            type: Quadratic Cohen's Kappa
            value: 0.6630877256393433

PANDA_ConvNeXT

An attempt to use a ConvNeXT for medical image classification (ISUP grading in prostate histopathology images). Currently uses a tiled and concatenated WSI as input

Example Images (1152,1152,3) 36 WSI patches:

ISUP 0:

ISUP 1: ISUP 2: ISUP 3: ISUP 4: ISUP 5: