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:2024-01-19 Issue:7 Volume:11 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:

Grinet Marco A. 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. NECE - Research Center for Business Sciences, Faculdade de Ciências Sociais e Humanas, Universidade da Beira Interior, R. José Caetano Júnior 149, Covilhã, Portugal

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

4. INESC-ID, Lisbon, Portugal

Publisher

Informa UK Limited

Link

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

Reference111 articles.

1. Breast Cancer Statistics: Recent Trends

2. Classification of Breast Cancer Histology Images Using Transfer Learning

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

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning ResNet-50 Framework for Automatic Early Breast Cancer Diagnosis;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17

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