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MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation
Sweeping Line Multiple Instance Learning Paradigm Interactive Image Segmentation
2016/1/22
Interactive segmentation, in which a user provides a bounding box to an object of interest for image segmenta-tion, has been applied to a variety of applications in im-age editing, crowdsourcing, comp...
Deep Learning of Feature Representation with Multiple Instance Learning for Medical Image Analysis
deep learning feature learning supervised un- supervised multiple instance learning
2016/1/22
This paper studies the effectiveness of accomplishing high-level tasks with a minimum of manual annotation and good feature rep-resentations for medical images. In medical image analysis, objects like...