Hi，I'm very interested in this work, and just started to do your work.I don't understand some of the code，so I would like to ask you a question：
Why is there only task_id=2 in seg_liver.py and seg_lesion.py? Didn't see what to do when task_id = 1?
if task_id == 2: batch_label = batch_label_liver batch_label_val = batch_label_liver_val label = preprocess_labels(batch_label, number_slices) label_val = preprocess_labels(batch_label_val, number_slices) run_res = sess.run([total_loss, merged_summary_op, dice_coef_op] + grad_accumulator_ops,feed_dict={input_image: image, input_label: label}) batch_loss = run_res[0] summary = run_res[1] train_dice_coef = run_res[2]
Hi，I'm very interested in this work, and just started to do your work.I don't understand some of the code，so I would like to ask you a question： Why is there only task_id=2 in seg_liver.py and seg_lesion.py? Didn't see what to do when task_id = 1?
if task_id == 2: batch_label = batch_label_liver batch_label_val = batch_label_liver_val label = preprocess_labels(batch_label, number_slices) label_val = preprocess_labels(batch_label_val, number_slices) run_res = sess.run([total_loss, merged_summary_op, dice_coef_op] + grad_accumulator_ops,feed_dict={input_image: image, input_label: label}) batch_loss = run_res[0] summary = run_res[1] train_dice_coef = run_res[2]