Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Digital Imaging for Blood Diseases
This cluster of papers focuses on the automated analysis of blood cell images, particularly in the context of detecting malaria parasites and classifying leukemia. The research utilizes techniques such as image processing, convolutional neural networks, and machine learning for tasks including white blood cell segmentation, feature extraction, and automated diagnosis from microscopic blood images.
32.1K works worldwide168.2K citations
Malaria Parasite DetectionLeukemia ClassificationImage ProcessingConvolutional Neural NetworksWhite Blood Cell SegmentationAutomated DiagnosisMicroscopic Blood ImagesMachine LearningFeature ExtractionMedical Image Analysis


