Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease · Mohammed Khalaf, A. Hussain, +6 authors. I. Idowu ...
Abstract. This paper presents the use of various type of neural network architectures for the classification of medical data. Extensive research has.
This paper discusses the use of various type of neural network architectures for the classification of medical data. Extensive research has indicated that ...
... An experimental study by (Khalaf et al., 2016) shows the use of different neural network models to predict the appropriate dosage of medication for SCD. The ...
Apr 13, 2022 · This paper presents the use of various type of neural network architectures for the classification of medical data. Extensive research has ...
This paper discusses the use of various type of neural network architectures for the classification of medical data. Extensive research has indicated.
Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease. https://doi.org/10.1007/978-3-319-42291-6_78 · Full ...
This paper presents a transfer and deep learning based approach to the classification of Sickle Cell Disease (SCD).
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Nov 12, 2023 · This paper presents a transfer and deep learning based approach to the classification of Sickle Cell. Disease (SCD).
Apr 12, 2024 · The aim of this study is to classify sickle cells using transfer learning with a pre-trained CNN.