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

AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images - ScienceDirect

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

Figure 4 from Performance Evaluation of Brightness Bi-Histogram Equalization Technique Using Gaussian Filter For Contrast Stretching And Brightness Preservation of Satellite Images

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

Deep learning approach to detect malaria from microscopic images

Automated Machine Learning Based Malaria Parasite Detection and Classification (AML-MPDC) Technique Using Blood Smear Images. - Document - Gale OneFile: Health and Medicine

Diagnostics, Free Full-Text

Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy

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

a): Leishman-stained thick blood film showing late trophozoites of P.

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

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

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

Automatic System for Plasmodium Species Identification from Microscopic Images of Blood-Smear Samples

Performance Evaluation of Filters for Enhancement of Images in Different Application Areas