Pancreatic Tumour Segmentation in Recent Medical Imaging – an Overview-Reference-Cited by-同舟云学术

Pancreatic Tumour Segmentation in Recent Medical Imaging – an Overview

Published:2020 Issue: Volume: Page:514-522
ISSN:2194-5357
Container-title:Computational Vision and Bio-Inspired Computing
language:
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Author:

Sindhu A.,Radha V.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-37218-7_58

Reference21 articles.

1. Tam, T.D., Binh, N.T.: Efficient pancreas segmentation in computed tomography based on region-growing (2015)

2. Balakrishna, R., Anandan, R.: Soft computing analysis for detection of pancreatic cancer using MATLAB. Int. J. Pure Appl. Math. 119(18), 379–392 (2018). ISSN 1314-3395

3. Sujatha, K., Ponmagal, R.S., Yasoda, K.: Detection of pancreatic tumor using bacterial foraging algorithm. Int. J. Recent Technol. Eng. (IJRTE) 8(1S4) (2019). ISSN 2277-3878

4. Lu, L., Xiaoting, Y., Bo, D.: A fast segmentation algorithm of PET images based on visual saliency model. In: 2nd International Conference on Intelligent Computing, Communication and Convergence, Procedia Computer Science, vol. 92, pp. 361–370 (2016)

5. Shimizu, A., Kimoto, T.: Automated pancreas segmentation from three-dimensional contrast-enhanced computed tomography. Int. J. CARS. https://doi.org/10.1007/s11548-009-0384-0

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