Segmentation-based context-aware enhancement network for medical images-Reference-Cited by-同舟云学术

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Segmentation-based context-aware enhancement network for medical images

Published:2023-09-20 Issue: Volume: Page:
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Bao Hua^ORCID,Li Qing,Zhu Yuqing

Funder

Provincial Natural Science Foundation of Anhui

Natural Science Research Project of Anhui Provincial Education Department

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-023-01950-2.pdf

Reference73 articles.

1. Richhariya B, Tanveer M, Rashid AH, Initiative ADN et al (2020) Diagnosis of Alzheimer’s disease using Universum support vector machine based recursive feature elimination (usvm-rfe). Biomed Sig Proc Control 59:101903

2. Tanveer M, Rashid AH, Ganaie M, Reza M, Razzak I, Hua K-L (2021) Classification of Alzheimer’s disease using ensemble of deep neural networks trained through transfer learning. IEEE J Biomed Health Inform 26(4):1453–1463

3. Beheshti I, Ganaie M, Paliwal V, Rastogi A, Razzak I, Tanveer M (2021) Predicting brain age using machine learning algorithms: A comprehensive evaluation. IEEE J Biomed Health Inf 26(4):1432–1440

4. Ning Z, Zhong S, Feng Q, Chen W, Zhang Y (2021) Smu-net: saliency-guided morphology-aware u-net for breast lesion segmentation in ultrasound image. IEEE Transact Med Imaging 41(2):476–490

5. Wang G, Liu X, Li C, Xu Z, Ruan J, Zhu H, Meng T, Li K, Huang N, Zhang S (2020) A noise-robust framework for automatic segmentation of covid-19 pneumonia lesions from ct images. IEEE Transact Med Imag 39(8):2653–2663

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