CNN-LSTM-Based Deep Learning Model for Early Detection of Breast Cancer
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-1559-8_9
Reference14 articles.
1. Ferlay J, Colombet M, Soerjomataram I, Mathers C, Parkin DM, Piñeros M, Znaor A, Bray F (2019) Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. Int J Cancer 144(8):1941–1953
2. Pérez M, Benalcazar ME, Tusa E, Rivas W, Conci A (2017) Mammogram classification using back-propagation neural networks and texture feature descriptors. In: IEEE second ecuador technical chapters meeting (ETCM), pp 1–6
3. Heidari M, Mirniaharikandehei S, Liu W, Hollingsworth AB, Liu H, Zheng B (2020) Development and assessment of a new global mammographic image feature analysis scheme to predict likelihood of malignant cases. IEEE Trans Med Imaging 39(4):1235–1244. https://doi.org/10.1109/TMI.2019.2946490
4. Pratiwi M, Alexander HJ, Nanda S (2015) Mammograms classification using gray-level co-occurrence matrix and radial basis function neural network. Procedia Comput Sci 59:83–91
5. Zhang X, Zhang Y, Han EY, Jacobs N, Han Q, Wang X, Liu J (2018) Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks. IEEE Trans Nanobiosci 17(3):237–242
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1. Harnessing the power of radiomics and deep learning for improved breast cancer diagnosis with multiparametric breast mammography;Expert Systems with Applications;2024-09
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