DENSE-INception U-net for medical image segmentation-Reference-Cited by-同舟云学术

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DENSE-INception U-net for medical image segmentation

Published:2020-08 Issue: Volume:192 Page:105395
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Zhang Ziang,Wu Chengdong,Coleman Sonya,Kerr Dermot

Funder

National Natural Science Foundation of China

Shenyang Intelligent Robot Laboratory Fund of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference40 articles.

1. Applications of deformable models for in-dopth analysis and feature extraction from medical images—a review;Srinivasan;Pattern Recognit. Image Anal.,2013

2. A survey on deep learning in medical image analysis;Litjens;Med. Image Anal.,2017

3. Exploring deep learning for efficient and reliable mobile sensing;Hongzi;IEEE Netw,2018

4. ImageNet classification with deep convolutional neural networks;Krizhevsky;Commun. ACM,2017

5. Very deep convolutional networks for large-scale image recognition;Simonyan;Comput. Sci.,2014

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