Genetic Algorithm-Based Optimization of UNet for Breast Cancer Classification: A Lightweight and Efficient Approach for IoT Devices-Reference-Cited by-同舟云学术

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Genetic Algorithm-Based Optimization of UNet for Breast Cancer Classification: A Lightweight and Efficient Approach for IoT Devices

Published:2024 Issue: Volume: Page:386-396
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:en
Short-container-title:

Author:

Agarwal Mohit^ORCID,Dwivedi Amit Kumar^ORCID,Gupta Suneet Kr.^ORCID,Najafzadeh Mohammad,Jindal Mani

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-56703-2_31

Reference27 articles.

1. Breast cancer statistics. https://www.breastcancer.org/facts-statistics. Accessed 01 Nov 2023

2. GitHub - imlab-uiip/keras-segnet: SegNet model implemented using keras framework – github.com. https://github.com/imlab-uiip/keras-segnet. Accessed 08 Nov 2023

3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);M Agarwal,2021

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);M Agarwal,2021

5. Al-Dhabyani, W., Gomaa, M., Khaled, H., Fahmy, A.: Dataset of breast ultrasound images. https://www.kaggle.com/datasets/aryashah2k/breast-ultrasound-images-dataset/data, https://doi.org/10.1016/j.dib.2019.104863

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