Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks
This study aims to develop an efficient and accurate breast cancer classification model using meta-learning approaches and multiple convolutional neural networks. This Breast Ultrasound Images (BUSI) dataset contains various types of breast lesions. The goal is to classify these lesions as benign or...
| 出版年: | Diagnostics |
|---|---|
| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Multidisciplinary Digital Publishing Institute (MDPI)
2023
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164711241&doi=10.3390%2fdiagnostics13132242&partnerID=40&md5=0966e06b9cf7e380adfd999fb53afa6a |