A Comparison of Convolutional Neural Networks, Image Feature Extraction, and Clinical Features Applied to Leukemia Blood Smear Image Classification
<p id="p1">The study presents the performance of Convolutional Neural Network (CNN) and Standard Feature extraction for image classification in detecting the type of leukaemia from blood smear test images. This research uses 312 pre-classified leukaemia images belonging to the four main types of the...
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| Autores principales: | , , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2025
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/1218208 |
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