OrganMNIST3D

Dataset Information

The source of the OrganMNIST3D is the same as that of the Organ{A,C,S}MNIST. Instead of 2D images, we directly use the 3D bounding boxes and process the images into 28×28×28 to perform multi-class classification of 11 body organs. The same 115 and 16 CT scans as the Organ{A,C,S}MNIST from the source training set are used as training and validation set, respectively, and the same 70 CT scans as the Organ{A,C,S}MNIST from the source test set are treated as the test set.

Task: multi-class

Labels:

0: liver, 1: kidney-right, 2: kidney-left, 3: femur-right, 4: femur-left, 5: bladder, 6: heart, 7: lung-right, 8: lung-left, 9: spleen, 10: pancreas

Samples:

• Train: 971
• Validation: 161
• Test: 610

Experiment Parameter

Learning Rate: 1e-5

Training Epoch: 100

Convergence Epoch: 65