Machine learning in breast cancer imaging: a review on data, models and methods-Reference-Cited by-同舟云学术

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Machine learning in breast cancer imaging: a review on data, models and methods

Published:2024-01-25 Issue: Volume: Page:1-27
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:

Grinet Macro S. V. M.¹^ORCID,Gouveia Ana I. R.²³^ORCID,Gomes Abel J. P.¹⁴^ORCID

Affiliation:

1. Department of Computer Science, Universidade da Beira Interior, Covilhã, Portugal

2. Department of Medical Sciences, Universidade da Beira Interior, Covilhã, Portugal

3. Instituto de Biofísica e Engenharia Biomédica, Universidade de Lisboa, Lisbon, Portugal

4. INESC-ID, Lisbon, Portugal

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2024.2302387

Reference111 articles.

1. Breast Cancer Statistics: Recent Trends

2. Ahmad HM, Ghuffar S, Khurshid K 2019. Classification of breast cancer histology images using transfer learning. In: 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan. IEEE. p. 328–332.

3. BreCaHAD: a dataset for breast cancer histopathological annotation and diagnosis

4. Boosting Breast Cancer Detection Using Convolutional Neural Network

5. Dataset of breast ultrasound images

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