Keras Implementation in Detecting Intracranial Hemorrhage and Multiclass Classification of Subtypes via Transfer Learning and Classifiers Selection
The development of deep neural networks for medical imaging applications, especially the diagnosis of intracranial hemorrhage (ICH) from CT scans, is greatly aided by machine learning frameworks such as Keras. This work investigates a pipeline that uses Keras' neural modules to distinguish betw...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UMP
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/43004/1/Keras%20Implementation%20in%20Detecting%20Intracranial%20Hemorrhage.pdf http://umpir.ump.edu.my/id/eprint/43004/ https://doi.org/10.15282/mekatronika.v6i2.11358 https://doi.org/10.15282/mekatronika.v6i2.11358 |
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