A comparative study of breast tumour detection using a semantic segmentation network coupled with different pretrained CNNs-Reference-Cited by-同舟云学术

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A comparative study of breast tumour detection using a semantic segmentation network coupled with different pretrained CNNs

Published:2024-07-07 Issue:1 Volume:12 Page:
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Deepak G. Divya¹,Bhat Subraya Krishna¹

Affiliation:

1. Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2024.2373996

Reference62 articles.

1. Dataset of breast ultrasound images

2. Identifying Phasic dopamine releases using DarkNet-19 Convolutional Neural Network

3. American Cancer Society. 2018. Global cancer facts and figures. 1–76 Atlanta: American Cancer Society no. 4. http://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/global-cancer-facts-and-figures/global-cancer-facts-and-figures-4th-edition.pdf.

4. Arini A, Bahaweres RB, Al Haq J. 2022 Jan. Quick classification of xception and resnet-50 models on deepfake video using local binary pattern. 2021 International Seminar on Machine Learning, Optimization, and Data Science (ISMODE); Jakarta, Indonesia; IEEE. p. 254–259.

5. Automatic semantic segmentation of breast tumors in ultrasound images based on combining fuzzy logic and deep learning—A feasibility study

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