Deep learning-based breast cancer detection using VGG-NiN architecture-Reference-Cited by-同舟云学术

Deep learning-based breast cancer detection using VGG-NiN architecture

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:SECOND INTERNATIONAL CONFERENCE ON CIRCUITS, SIGNALS, SYSTEMS AND SECURITIES (ICCSSS - 2022)
language:
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Author:

Sannasi Chakravarthy S R,Rajaguru Harikumar

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0125243

Reference15 articles.

1. Breast cancer awareness, risk factors and screening practices among future health professionals in Ghana: A cross-sectional study

2. SR, S.C. and Rajaguru, H., 2021, October. A Systematic Review on Screening, Examining and Classification of Breast Cancer.In 2021 Smart Technologies, Communication and Robotics (STCR) (pp. 1–4). IEEE.

3. INbreast

4. Rajaguru, H., 2019. Analysis of decision tree and k-nearest neighbor algorithm in the classification of breast cancer. Asian Pacific journal of cancer prevention: APJCP, 20(12), p.3777.

5. Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non‐linear regression models: A comparison

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