Enhanced breast mass mammography classification approach based on pre-processing and hybridization of transfer learning models-Reference-Cited by-同舟云学术

Enhanced breast mass mammography classification approach based on pre-processing and hybridization of transfer learning models

Published:2023-08-12 Issue:16 Volume:149 Page:14549-14564
ISSN:0171-5216
Container-title:Journal of Cancer Research and Clinical Oncology
language:en
Short-container-title:J Cancer Res Clin Oncol

Author:

Boudouh Saida Sarra,Bouakkaz Mustapha

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00432-023-05249-1.pdf

Reference34 articles.

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2. Al-Najdawi N, Biltawi M, Tedmori S (2015) Mammogram image visual enhancement, mass segmentation and classification. Appl Soft Comput 35:175–185

3. Babu A, Jerome SA (2022) Mammogram image grade gauging of denoising filters; enhancement methods. In: 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), pp. 1–6. https://doi.org/10.1109/iceeict53079.2022.9768548

4. Bhateja V, Misra M, Urooj S (2019) Non-linear filters for mammogram enhancement

5. Boudouh SS, Bouakkaz M (2022) Breast cancer: Breast tumor detection using deep transfer learning techniques in mammogram images. In: 2022 International Conference on Computer Science and Software Engineering (CSASE), pp. 289–294. https://doi.org/10.1109/csase51777.2022.9759702

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