A new intelligent hybrid feature extraction model for automating cancer diagnosis: a focus on breast cancer

Cancer, or malignant tumor, is a group of diseases that arises from the abnormal proliferation of body cells, which have the ability to invade or spread to other parts of the body. Many researchers have proposed various methods to detect breast cancer; however, the accuracy of these methods has ofte...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 81; no. 5; p. 651
Main Authors:	Rahmani, Roozbeh, Akbarpour, Shahin, Farzan, Ali, Anari, Babak, Afshord, Saeid Taghavi
Format:	Journal Article
Language:	English
Published:	New York Springer US 24.03.2025 Springer Nature B.V
Subjects:	Accuracy Algorithms Automation Back propagation Breast cancer Case studies Compilers Computer Science Diagnosis Feature extraction Field programmable gate arrays Fourier transforms Image analysis Image retrieval Interpreters Machine learning Mammography Medical diagnosis Neural networks Online data bases Processor Architectures Programming Languages Sensitivity Support vector machines Tumors Wavelet transforms Simulated annealing random algorithm Feature extraction Feature space Automatic cancer diagnosis
ISSN:	1573-0484, 0920-8542, 1573-0484
Online Access:	Get full text
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