Neuro-fuzzy patch-wise R-CNN for multiple sclerosis segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-020-02225-6.pdf
Reference46 articles.
1. Baur C, Albarqouni S, Navab N (2017) Semi-supervised deep learning for fully convolutional networks. In: Medical image computing and computer-assisted intervention - MICCAI, vol 10434, pp 311–319. https://doi.org/10.1007/978-3-319-66185-8
2. Birenbaum A, Greenspan H (2017) Multi-view longitudinal CNN for multiple sclerosis lesion segmentation. Eng Appl Artif Intell 65:111–118. https://doi.org/10.1016/j.engappai.2017.06.006
3. Brosch T, Tang LY, Yoo Y, Li DK, Traboulsee A, Tam R (2016) Deep 3D convolutional encoder networks with shortcuts for multiscale feature integration applied to multiple sclerosis lesion segmentation. IEEE Trans Med Imaging 35(5):1229–1239. https://doi.org/10.1109/TMI.2016.2528821
4. Cerasa A, Bilotta E, Augimeri A, Cherubini A, Pantano P, Zito G, Lanza P, Valentino P, Gioia MC, Quattrone A (2012) A cellular neural network methodology for the automated segmentation of multiple sclerosis lesions. J Neurosci Methods 203(1):193–199. https://doi.org/10.1016/j.jneumeth.2011.08.047
5. Chen C, Liu MY, Tuzel O, Xiao J (2016) R-CNN for small object detection. In: Asian conference on computer vision (ACCV), pp 214–230
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