Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels

30 May 2018Vadim RatnerYoel ShoshanTal Kachman

Medical image classification involves thresholding of labels that represent malignancy risk levels. Usually, a task defines a single threshold, and when developing computer-aided diagnosis tools, a single network is trained per such threshold, e.g. as screening out healthy (very low risk) patients to leave possibly sick ones for further analysis (low threshold), or trying to find malignant cases among those marked as non-risk by the radiologist ("second reading", high threshold)... (read more)

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