COVID-19 Image Classification: A Comparative Performance Analysis of Hand-Crafted vs. Deep Features
This study investigates techniques for medical image classification, specifically focusing on COVID-19 scans obtained through computer tomography (CT). Firstly, handcrafted methods based on feature engineering are explored due to their suitability for training traditional machine learning (TML) clas...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2024-03-01
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| シリーズ: | Computation |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2079-3197/12/4/66 |
| タグ: |
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