AIMC Topic: Delayed Emergence from Anesthesia
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An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images.
Parasites & vectors
Apr 16, 2024
BACKGROUND: Malaria is a serious public health concern worldwide. Early and accurate diagnosis is essential for controlling the disease's spread and avoiding severe health complications. Manual examination of blood smear samples by skilled technician...
BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification.
Scientific reports
Mar 11, 2024
A significant issue in computer-aided diagnosis (CAD) for medical applications is brain tumor classification. Radiologists could reliably detect tumors using machine learning algorithms without extensive surgery. However, a few important challenges a...
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