Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation-Reference-Cited by-同舟云学术

Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation

Published:2015 Issue: Volume: Page:3-11
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Brosch Tom,Yoo Youngjin,Tang Lisa Y. W.,Li David K. B.,Traboulsee Anthony,Tam Roger

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-24574-4_1

Reference10 articles.

1. Souplet, J.C., Lebrun, C., Ayache, N., Malandain, G.: An automatic segmentation of T2-FLAIR multiple sclerosis lesions. In: MIDAS Journal - MICCAI 2008 Workshop (2008)

2. Lecture Notes in Computer Science;N. Weiss,2013

3. Lecture Notes in Computer Science;E. Geremia,2010

4. Lecture Notes in Computer Science;Y. Yoo,2014

5. Ciresan, D., Giusti, A., Schmidhuber, J.: Deep neural networks segment neuronal membranes in electron microscopy images. In: Advances in Neural Information Processing Systems, pp. 1–9 (2012)

Cited by 95 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic Screening of Skin Cancer;Advances in Medical Technologies and Clinical Practice;2024-07-19

2. Crack segmentation of imbalanced data: The role of loss functions;Engineering Structures;2023-12

3. An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms;Medical Image Analysis;2023-02

4. PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation;BMC Bioinformatics;2023-01-17

5. Strong semantic segmentation for Covid-19 detection: Evaluating the use of deep learning models as a performant tool in radiography;Radiography;2023-01