Efforts estimation of doctors annotating medical image

no code implementations • 6 Jan 2019 • Yang Deng, Yao Sun, Yongpei Zhu, Yue Xu, Qianxi Yang, Shuo Zhang, Mingwang Zhu, Jirang Sun, Weiling Zhao, Xiaobo Zhou, Kehong Yuan

In this paper, we propose a new criterion to evaluate efforts of doctors annotating medical image.

Active Learning

A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation

no code implementations • 1 Aug 2018 • Yao Sun, Yang Deng, Yue Xu, Shuo Zhang, Mingwang Zhu, Kehong Yuan

Magnetic Resonance Imaging (MRI) is widely used in the pathological and functional studies of the brain, such as epilepsy, tumor diagnosis, etc.

Image Retrieval Retrieval +1

DASN:Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation

no code implementations • 23 Jul 2018 • Yang Deng, Yao Sun, Yongpei Zhu, Shuo Zhang, Mingwang Zhu, Kehong Yuan

It is on the basis of this, we propose a judgement to distinguish data sets that different models are good at.

Segmentation

A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net

no code implementations • 19 Jul 2018 • Yang Deng, Yao Sun, Yongpei Zhu, Mingwang Zhu, Wei Han, Kehong Yuan

How to choose appropriate training dataset from limited labeled dataset rather than the whole also has great significance in saving training time.

Segmentation