Deep learning methods for lesion detection on mammography images: a comparative analysis

Author:

Ribeiro Raul Ferrete1,Gomes-Fonseca Joao1,Torres Helena R.1,Oliveira Bruno1,Vilhena Estela1,Morais Pedro1,Vilaca Joao L.1

Affiliation:

1. 2Ai -School of Technology, IPCA,Barcelos,Portugal

Publisher

IEEE

Cited by 5 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 for Automated Lesion Detection in Mammography;2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA);2023-09-29

2. Comparative analysis of deep learning methods for lesion detection on full screening mammography;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

3. Deep Learning Networks for Breast Lesion Classification in Ultrasound Images: A Comparative Study;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

4. Phase Difference Network for Efficient Differentiation of Hepatic Tumors with Multi-Phase CT;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

5. Augmented Reality-Assisted Ultrasound Breast Biopsy;Sensors;2023-02-07

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