Diagnosis of breast cancer based on hybrid features extraction in dynamic contrast enhanced magnetic resonance imaging

Author:

Hasan Ali M.,Aljobouri Hadeel K.,Al-Waely Noor K. N.,Ibrahim Rabha W.,Jalab Hamid A.,Meziane Farid

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference49 articles.

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2. MM, Al-Hashimi (2021) Trends in breast cancer incidence in Iraq during the period 2000–2019. Asian Pac J Cancer Prevent APJCP 22:3889

3. Alnafea MA (2017) Detection and diagnosis of breast diseases. Breast imaging. IntechOpen, London

4. Antropova N, Huynh B, Li H, Giger ML (2019) Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networks. J Med Imag (Bellingham) 6:011002

5. Chen HL, Zhou JQ, Chen Q, Deng YC (2021) Comparison of the sensitivity of mammography, ultrasound, magnetic resonance imaging and combinations of these imaging modalities for the detection of small (≤ 2 cm) breast cancer. Medicine (Baltim) 100:e26531

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1. Automatic machine learning model for enhanced partition and identification of breast disorders in breast MRI scan;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2024-08-12

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