A discrete learning-based intelligent classifier for breast cancer classification

Precise diagnosis of benign and malignant breast cancer plays an important role in the effective treatment of breast cancer patients. Several classification models with different characteristics have been developed and used in a wide range of breast cancer domains to improve classification accuracy....

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Vydané v:	Multimedia tools and applications Ročník 83; číslo 32; s. 78269 - 78292
Hlavní autori:	Khashei, Mehdi, Bakhtiarvand, Negar, Ahmadi, Parsa
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.09.2024 Springer Nature B.V
Predmet:	Breast cancer Classification Computer Communication Networks Computer Science Continuity (mathematics) Cost function Data Structures and Information Theory Learning Multilayer perceptrons Multimedia Information Systems Special Purpose and Application-Based Systems Track 3: Biometrics and HCI Breast Cancer datasets Discrete and Continuous learning algorithms Breast Cancer (BC) Multilayer perceptron (MLP) Classification
ISSN:	1573-7721, 1380-7501, 1573-7721
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