GP-Unet: Lesion Detection from Weak Labelswith a 3D Regression Network
Florian Dubost, Gerda Bortsova, Hieab Adams, Arfan Ikram, Wiro Niessen, Meike Vernooij, and Marleen De Bruijne Abstract. We propose a novel convolutional neural network for lesiondetection from weak labels. Only a single, global label per image – thelesion count – is needed for training. We train a regression network witha fully convolutional architecture combined with […]