A CNN-based methodology for breast cancer diagnosis using thermal images-Reference-Cited by-同舟云学术

A CNN-based methodology for breast cancer diagnosis using thermal images

Published:2020-10-04 Issue:2 Volume:9 Page:131-145
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:

Zuluaga-Gomez J.¹²³^ORCID,Al Masry Z.¹^ORCID,Benaggoune K.⁴,Meraghni S.⁵,Zerhouni N.¹

Affiliation:

1. FEMTO-ST Institute, Univ. Bourgogne Franche-Comt, CNRS, ENSMM, Besancon, France

2. Automatic Speech Recognition Research Group, Idiap Research Institute, Martigny, Switzerland

3. Ecole Polytechnique Federale De Lausanne (EPFL), Switzerland

4. Laboratory of Automation and Production Engineering, Batna University, Batna, Algeria

5. LINFI Laboratory, University of Biskra, Biskra, Algeria

Funder

supported by the EIPHI Graduate

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2020.1824685

Reference51 articles.

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2. Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine

3. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification

4. Detection of Breast Abnormalities of Thermograms based on a New Segmentation Method

5. All Cancer Globocan 2018 International Agency for Research on Cancer WHO [http://gco.iarc.fr/today/data/factsheets/cancers/39-All-cancers-fact-sheet.pdf]; 2019. [Online; accessed 03-March-2019]

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