PDF] Modified Global and Modified Linear Contrast Stretching Algorithms: New Colour Contrast Enhancement Techniques for Microscopic Analysis of Malaria Slide Images
A new approach for malaria diagnosis in thick blood smear images - ScienceDirect
Automatic System for Plasmodium Species Identification from Microscopic Images of Blood-Smear Samples
Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear
Automated Machine Learning Based Malaria Parasite Detection and Classification (AML-MPDC) Technique Using Blood Smear Images. - Document - Gale OneFile: Health and Medicine
Modified Global and Modified Linear Contrast Stretching Algorithms: New Colour Contrast Enhancement Techniques for Microscopic Analysis of Malaria Slide Images
Performance Evaluation of Filters for Enhancement of Images in Different Application Areas
Image analysis and machine learning for detecting malaria. - Abstract - Europe PMC
PDF] Global Threshold Using Otsu and Active Contour for Detection of Malaria Parasites in Thick Blood Smear
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
Automated Machine Learning Based Malaria Parasite Detection and Classification (AML-MPDC) Technique Using Blood Smear Images. - Document - Gale OneFile: Health and Medicine
Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear
Multiclass malaria parasite recognition based on transformer models and a generative adversarial network
A review on automated diagnosis of malaria parasite in microscopic blood smears images
