Medical image segmentation using deep learning: A survey

Author:

Wang Risheng12,Lei Tao12ORCID,Cui Ruixia3,Zhang Bingtao4,Meng Hongying5ORCID,Nandi Asoke K.5ORCID

Affiliation:

1. Shaanxi Joint Laboratory of Artificial Intelligence Shaanxi University of Science and Technology Xi'an China

2. The School of Electronic Information and Artificial Intelligence Shaanxi University of Science and Technology Xi'an China

3. The Laboratory of Hepatobiliary Surgery First Affiliated Hospital' and 'National Engineering Laboratory of Big Data Algorithm and Analysis Technology Research'(Xi'an Jiaotong University) Xi'an China

4. The School of Electronic and Information Engineering Lanzhou Jiaotong University Lanzhou China

5. The Department of Electronic and Electrical Engineering Brunel University London UK

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference183 articles.

1. Automatic Segmentation of Liver Tumor in CT Images with Deep Convolutional Neural Networks

2. Automatic liver tumor segmentation in follow‐up CT studies using convolutional neural networks;Vivanti R.;Sci. Rep.,2015

3. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

4. Learning based segmentation of ct brain images: application to postoperative hydrocephalic scans;Cherukuri V.;IEEE Trans. Bio‐Med. Eng.,2017

5. Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

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