Multi‐planar 3D knee MRI segmentation via UNet inspired architectures-Reference-Cited by-同舟云学术

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Multi‐planar 3D knee MRI segmentation via UNet inspired architectures

Published:2022-12-20 Issue: Volume: Page:
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Sengar Sandeep Singh¹^ORCID,Meulengracht Christopher²,Boesen Mikael Ploug²,Overgaard Anders Føhrby²,Gudbergsen Henrik²,Nybing Janus Damm²,Perslev Mathias¹,Dam Erik Bjørnager¹^ORCID

Affiliation:

1. Department of Computer Science University of Copenhagen Copenhagen Denmark

2. Copenhagen University Hospital Bispebjerg and Frederiksberg Copenhagen Denmark

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22836

Reference51 articles.

1. U-Net: Convolutional Networks for Biomedical Image Segmentation

2. The Importance of Skip Connections in Biomedical Image Segmentation

3. JuntangZhuang.Laddernet: multi‐path networks based on unet for medical image segmentation. arXiv preprint arXiv:1810.07810 2018.

4. Dense-Unet: a light model for lung fields segmentation in Chest X-Ray images

5. PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images

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