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IETE Journal of Research Volume 68, 2022 - Issue 6
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Articles

Tumor Segmentation by a Self-Organizing-Map based Active Contour Model (SOMACM) from the Brain MRIs

G. Sandhya1 Department of ECE, VNITSW, Guntur, IndiaCorrespondence[email protected]
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,
Giri Babu Kande2 Department of ECE, VVIT, Guntur, IndiaView further author information
&
T. Satya Savithri3 Department of ECE, JNTUCE, Hyderabad, IndiaView further author information
Pages 3927-3939 | Published online: 30 Jun 2020

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Ankur Biswas, Paritosh Bhattacharya, Santi P. Maity & Rita Banik. (2023) Data Augmentation for Improved Brain Tumor Segmentation. IETE Journal of Research 69:5, pages 2772-2782.
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Articles from other publishers (4)

K. Rasool Reddy, Raj Kumar Batchu, Srinivasu Polinati & Durga Prasad Bavirisetti. (2023) Design of a medical decision-supporting system for the identification of brain tumors using entropy-based thresholding and non-local texture features. Frontiers in Human Neuroscience 17.
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Yahya M A Mohammed, Said El Garouani & Ismail Jellouli. (2023) A survey of methods for brain tumor segmentation-based MRI images. Journal of Computational Design and Engineering 10:1, pages 266-293.
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Peddamallu Gangadhara Reddy, Tirumala Ramashri & Kayam Lokesh Krishna. (2022) Brain Tumour Region Extraction Using Novel Self-Organising Map-Based KFCM Algorithm. Pertanika Journal of Science and Technology 31:1, pages 577-594.
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Parvathaneni Naga Srinivasu & Valentina Emilia Balas. (2021) Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS. PeerJ Computer Science 7, pages e654.
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