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

By A Mystery Man Writer

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

A new approach for malaria diagnosis in thick blood smear images - ScienceDirect

Diagnostics, Free Full-Text

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

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

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

Diagnostics, Free Full-Text

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

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

Estimation of Texture Variation in Malaria Diagnosis

A new approach for malaria diagnosis in thick 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

PDF) A Robust Segmentation for Malaria Parasite Detection of Thick Blood Smear Microscopic Images

PDF) Image features for quality analysis of thick blood smears employed in malaria diagnosis

©2016-2024, sincikhaber.net, Inc. or its affiliates