Download PDFOpen PDF in browserDetection of Malaria Using CNN and Deep learningEasyChair Preprint 127916 pages•Date: March 27, 2024AbstractDetection of malaria Parasite from the blood images which contain a dataset of 27000 images using different cnn models and deep learning techniques. We design the automatic parasite detection in blood from Giemsa-stained smears using three CNN pre-trained models such as VGG19, ResNet50, and MobileNetV2. As the CNNs are poorly performing for small datasets, we introduce the transfer learning technique. Keyphrases: CNN, MobileNetV2, ResNet50, VGG19, deep learning, neural network
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