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Cogent Engineering Volume 5, 2018 - Issue 1

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Research Article

A novel fuzzy energy based level set method for medical image segmentation

Mahipal Singh Choudhry Department of Electronics & Communication Engineering, Delhi Technological University , Delhi, IndiaCorrespondence[email protected]

https://orcid.org/0000-0001-9380-9121 View further author information

Rajiv Kapoor Department of Electronics & Communication Engineering, Ambedkar Institute of Advanced Communication Technologies & Research , Delhi, IndiaView further author information

Zhongmin Jin Xian Jiao Tong University (China) and Leeds University (UK) , ChinaView further author information

(Reviewing editor)

Article: 1475032 | Received 13 Jan 2018, Accepted 08 May 2018, Published online: 29 Jun 2018

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https://doi.org/10.1080/23311916.2018.1475032
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Citations (3)

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Articles from other publishers (3)

Huma Naz, Rahul Nijhawan, Neelu Jyothi Ahuja, Tanzila Saba, Faten S. Alamri & Amjad Rehman. (2023) Micro‐segmentation of retinal image lesions in diabetic retinopathy using energy‐based fuzzy C‐Means clustering ( EFM‐FCM ) . Microscopy Research and Technique 87:1, pages 78-94.
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A. Karthik, Bojja Sharanya, Koorapati Reshma & Shashi Kiran Vunguturi. (2022) Cardiac Left Ventricle Segmentation using Recurrent U-Net and Level Set with Short Axis MRI Images. Cardiac Left Ventricle Segmentation using Recurrent U-Net and Level Set with Short Axis MRI Images.

Yuanmu Li & Zhanqing Wang. (2020) A medical image segmentation method based on hybrid active contour model with global and local features. Concurrency and Computation: Practice and Experience 32:19.
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