Automatic Segmentation of Meniscus in Multispectral MRI Using Regions with Convolutional Neural Network (R-CNN)-Reference-Cited by-同舟云学术

Automatic Segmentation of Meniscus in Multispectral MRI Using Regions with Convolutional Neural Network (R-CNN)

Published:2020-06-02 Issue:4 Volume:33 Page:916-929
ISSN:0897-1889
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

ÖLMEZ Emre,AKDOĞAN Volkan,KORKMAZ Murat,ER Orhan

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://link.springer.com/content/pdf/10.1007/s10278-020-00329-x.pdf

Reference30 articles.

1. Makris EA, Hadidi P, Athanasiou KA: The knee meniscus: Structure-function, pathophysiology, current repair techniques, and prospects for regeneration. Biomaterials 32(30):7411–7431, 2011

2. Bryceland JK, Powell AJ, Nunn T: Knee Menisci. Cartilage 8(2):99–104, 2017

3. Liew SC, Liew SW, Zain JM: Tamper localization and lossless recovery watermarking scheme with ROI segmentation and multilevel authentication. Journal of Digital Imaging 26:316–325, 2013

4. Deepa S: SubbiahBharathi: Efficient ROI segmentation of digital mammogram images using Otsu’s N thresholding method. International Journal of Engineering Research & Technology 2(1):1–6, 2013

5. Nagi J, Abdul Kareem S, Nagi F, Ahmed SK: Automated Breast Profile Segmentation for ROI Detection Using Digital Mammograms: IEEE EMBS conference on Biomedical Engineering & Sciences. Kuala Lumpur, Malaysia, November–December 2010:87–92, 2010

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