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...
الحاوية / القاعدة: | Diagnostics |
---|---|
المؤلف الرئيسي: | 2-s2.0-85164711241 |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Multidisciplinary Digital Publishing Institute (MDPI)
2023
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164711241&doi=10.3390%2fdiagnostics13132242&partnerID=40&md5=0966e06b9cf7e380adfd999fb53afa6a |
مواد مشابهة
-
Breast Cancer Classification Using Deep Learning
بواسطة: 2-s2.0-85167737571
منشور في: (2023) -
Classification of Diabetic Retinopathy Disease Using Convolutional Neural Network
بواسطة: 2-s2.0-85130573222
منشور في: (2022) -
Convolutional Neural Network Based Deep Learning Model for Accurate Classification of Durian Types
بواسطة: Diana D.; Kurniawan T.B.; Dewi D.A.; Alqudah M.K.; Alqudah M.K.; Zakari M.Z.; Fuad E.F.B.E.
منشور في: (2025) -
Convolutional Neural Network featuring VGG-16 Model for Glioma Classification
بواسطة: 2-s2.0-85139452252
منشور في: (2022) -
Classification Type of Asynchrony Breathing Image Using 2-Dimensional Convolutional Neural Network
بواسطة: 2-s2.0-85177443458
منشور في: (2023)