Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear

PDF] Modified Global and Modified Linear Contrast Stretching Algorithms: New Colour Contrast Enhancement Techniques for Microscopic Analysis of Malaria Slide Images

Multiclass malaria parasite recognition based on transformer models and a generative adversarial network

Modified Global and Modified Linear Contrast Stretching Algorithms: New Colour Contrast Enhancement Techniques for Microscopic Analysis of Malaria Slide Images

Image analysis and machine learning for detecting malaria. - Abstract - Europe PMC

Recent advances on big data analysis for malaria prediction and various diagnosis methodologies - ScienceDirect

Recent advances on big data analysis for malaria prediction and various diagnosis methodologies - ScienceDirect

General architecture of automated diagnosis of malaria

PDF) Modified Global and Modified Linear Contrast Stretching Algorithms: New Colour Contrast Enhancement Techniques for Microscopic Analysis of Malaria Slide Images

Embedded deep-learning based sample-to-answer device for on-site malaria diagnosis

Zeehaida MOHAMED, Lecturer, Medical doctor, MD (UKM); M.PATH (Microbiology) (USM), Universiti Sains Malaysia, George Town, USM, Department of Microbiology and Parasitology

Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear

PDF] Enhancement of low quality thick blood smear microscopic images of malaria patients using contrast and edge corrections

Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear

PDF] Enhancement of low quality thick blood smear microscopic images of malaria patients using contrast and edge corrections

Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models, BMC Bioinformatics