Better Network Optimization Through Batch Normalization in Left Ventricle Chamber Classification
Convolutional neural networks (CNNs) have emerged as a prominent deep learning technique for medical image classification. This study investigated the impact of batch normalization layer placement on the performance of the CNNs model in classifying the left ventricle segment in Delayed-enhancement c...
| 出版年: | Pertanika Journal of Science and Technology |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Universiti Putra Malaysia Press
2025
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000173429&doi=10.47836%2fpjst.33.2.15&partnerID=40&md5=e8d9e83bda723f805560f10f2610cb40 |