Brain Tumor Detection Using Image Processing Approach-Reference-Cited by-同舟云学术

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Brain Tumor Detection Using Image Processing Approach

Published:2022-12-03 Issue: Volume: Page:467-475
ISSN:2524-7565
Container-title:Data Intelligence and Cognitive Informatics
language:
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Author:

Agarwal Abhinav,Arora Himanshu,Singh Shivam Kumar,Yadav Vishwabandhu

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-6004-8_38

Reference15 articles.

1. Raut G, Raut A, Bhagade J, Bhagade J, Gavhane S (2020) Deep learning approach for brain tumor detection and segmentation. In: IEEE international conference on convergence to digital world—Quo Vadis (ICCDW), pp 1–5

2. Soni GK, Rawat A, Yadav D, Kumar A (2021) 2.4 GHz Antenna design for tumor detection on flexible substrate for on-body biomedical application. In: 2021 IEEE Indian conference on antennas and propagation (InCAP), pp 136–139

3. Shahriar Sazzad TM, Tanzibul Ahmmed KM, Hoque MU, Rahman M (2019) Development of automated brain tumor identification using MRI images. In: 2019 International conference on electrical, computer and communication engineering (ECCE), pp 1–4

4. Jha P, Biswas T, Sagar U, Ahuja K (2021) Prediction with ML paradigm in healthcare system. In: 2021 Second international conference on electronics and sustainable communication systems (ICESC), pp 1334–1342

5. Soni GK, Rawat A, Jain S, Sharma SK (2020) A pixel-based digital medical images protection using genetic algorithm with LSB watermark technique. In: Smart systems and IoT: innovations in computing. Springer, pp 483–492

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