Implementation of 2D and 3D cnn classification workflow

Implemented a classification training and classification inference workflows.

classification training

• Trains Resnet18 (2D or 3D)
• Adjustable parameters via UI: used tags, task (binary, multiclass, multilabel), dimensions (2D or 3D), patch size, batch size and epochs
• Z-Score normalization
• batchgenerators
• Tensorboard

classification inference

• Takes model from training and predicts tag
• Writes tag in OpenSearch