{"action":"created","issue":{"url":"https://api.github.com/repos/taigw/brats17/issues/23","repository_url":"https://api.github.com/repos/taigw/brats17","labels_url":"https://api.github.com/repos/taigw/brats17/issues/23/labels{/name}","comments_url":"https://api.github.com/repos/taigw/brats17/issues/23/comments","events_url":"https://api.github.com/repos/taigw/brats17/issues/23/events","html_url":"https://github.com/taigw/brats17/issues/23","id":367072807,"node_id":"MDU6SXNzdWUzNjcwNzI4MDc=","number":23,"title":"Regarding subimage patch and label size ","user":{"login":"pranavkantgaur","id":932150,"node_id":"MDQ6VXNlcjkzMjE1MA==","avatar_url":"https://avatars2.githubusercontent.com/u/932150?v=4","gravatar_id":"","url":"https://api.github.com/users/pranavkantgaur","html_url":"https://github.com/pranavkantgaur","followers_url":"https://api.github.com/users/pranavkantgaur/followers","following_url":"https://api.github.com/users/pranavkantgaur/following{/other_user}","gists_url":"https://api.github.com/users/pranavkantgaur/gists{/gist_id}","starred_url":"https://api.github.com/users/pranavkantgaur/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pranavkantgaur/subscriptions","organizations_url":"https://api.github.com/users/pranavkantgaur/orgs","repos_url":"https://api.github.com/users/pranavkantgaur/repos","events_url":"https://api.github.com/users/pranavkantgaur/events{/privacy}","received_events_url":"https://api.github.com/users/pranavkantgaur/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-10-05T06:10:19Z","updated_at":"2018-10-07T10:08:24Z","closed_at":null,"author_association":"NONE","body":"Hi,\r\n\r\nI was curious as to how you have selected sub-image patch size of [19, 144, 144, 4]? Is it based on cross-validation? Further as already asked here: (https://github.com/taigw/brats17/issues/20) , why the corresponding label has 11 units along depth? [11, 144, 144, 1] as opposed to 19 in input sample?"},"comment":{"url":"https://api.github.com/repos/taigw/brats17/issues/comments/427641111","html_url":"https://github.com/taigw/brats17/issues/23#issuecomment-427641111","issue_url":"https://api.github.com/repos/taigw/brats17/issues/23","id":427641111,"node_id":"MDEyOklzc3VlQ29tbWVudDQyNzY0MTExMQ==","user":{"login":"HowieMa","id":25797674,"node_id":"MDQ6VXNlcjI1Nzk3Njc0","avatar_url":"https://avatars0.githubusercontent.com/u/25797674?v=4","gravatar_id":"","url":"https://api.github.com/users/HowieMa","html_url":"https://github.com/HowieMa","followers_url":"https://api.github.com/users/HowieMa/followers","following_url":"https://api.github.com/users/HowieMa/following{/other_user}","gists_url":"https://api.github.com/users/HowieMa/gists{/gist_id}","starred_url":"https://api.github.com/users/HowieMa/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/HowieMa/subscriptions","organizations_url":"https://api.github.com/users/HowieMa/orgs","repos_url":"https://api.github.com/users/HowieMa/repos","events_url":"https://api.github.com/users/HowieMa/events{/privacy}","received_events_url":"https://api.github.com/users/HowieMa/received_events","type":"User","site_admin":false},"created_at":"2018-10-07T10:08:24Z","updated_at":"2018-10-07T10:08:24Z","author_association":"NONE","body":"+1\r\nThat is so wired!\r\nI use the dataset of BRATS15, the original data shape is 155 * 240 * 240, but the sub image shape is 19 * 144 * 144.\r\n\r\nAccording to his function ,\r\n`center_point = get_random_roi_sampling_center(volume_shape, sub_label_shape, batch_sample_model, boundingbox)  #`\r\n\r\nand also\r\n`sub_data_moda = extract_roi_from_volume(transposed_volumes[moda],center_point,sub_data_shape)\r\n`\r\nit seems that your randomly get a sub image by cropping the original image, which I think may miss some information of the tumor.\r\nHow do you guarantee this cropping method will get all the tumor information we want?\r\n\r\n"}}
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