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- Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear
Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear
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PDF] Modified Global and Modified Linear Contrast Stretching Algorithms: New Colour Contrast Enhancement Techniques for Microscopic Analysis of Malaria Slide Images
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
PDF] Performance Evaluation of Filters for Enhancement of Images in Different Application Areas
Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy
A review on automated diagnosis of malaria parasite in microscopic blood smears images
A new approach for malaria diagnosis in thick blood smear images - ScienceDirect
Diagnostics, Free Full-Text
Automated Machine Learning Based Malaria Parasite Detection and Classification (AML-MPDC) Technique Using Blood Smear Images. - Document - Gale OneFile: Health and Medicine
Zeehaida MOHAMED, Lecturer, Medical doctor, MD (UKM); M.PATH (Microbiology) (USM), Universiti Sains Malaysia, George Town, USM, Department of Microbiology and Parasitology
A combination of optimized threshold and deep learning-based approach to improve malaria detection and segmentation on PlasmoID dataset
PDF) Image features for quality analysis of thick blood smears employed in malaria diagnosis
