Deep learning and machine learning for Malaria detection: overview, challenges and future directions. (arXiv:2209.13292v1 [cs.LG])

To have the greatest impact, public health initiatives must be made using
evidence-based decision-making. Machine learning Algorithms are created to
gather, store, process, and analyse data to provide knowledge and guide
decisions. A crucial part of any surveillance system is image analysis. The
communities of computer vision and machine learning has ended up curious about
it as of late. This study uses a variety of machine learning and image
processing approaches to detect and forecast the malarial illness. In our …

arxiv challenges deep learning detection future machine machine learning malaria overview