Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12385-2.pdf
Reference48 articles.
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3. Chaudhary PK, Pachori RB (2021) FBSED based automatic diagnosis of COVID-19 using X-ray and CT images. Comput Biol Med 134:104454. https://doi.org/10.1016/j.compbiomed.2021.104454
4. Chaudhary PK, Pachori RB (2021) Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform. Biomed Signal Process Control 64:102237. https://doi.org/10.1016/j.bspc.2020.102237
5. Dembrower K, Liu Y, Azizpour H et al (2020) Comparison of a deep learning risk score and standard mammographic density score for breast cancer risk prediction. Radiology 294(2):265–272. https://doi.org/10.1148/radiol.2019190872
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