Cha-PO and CVNet: a hybrid approach for automated cataract detection using adaptive feature selection and deep learning for high accuracy and efficiency | Scientific Reports
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Researchers have developed a hybrid approach for automated cataract detection, combining adaptive feature selection and deep learning. This approach, known as Cha-PO and CVNet, aims to achieve high accuracy and efficiency in cataract detection. The method has been reported in a scientific publication, suggesting a potential advancement in the field of automated cataract detection.