Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models
F Abdurahman, KA Fante, M Aliy - BMC bioinformatics, 2021 - Springer
Background Manual microscopic examination of Leishman/Giemsa stained thin and thick
blood smear is still the “gold standard” for malaria diagnosis. One of the drawbacks of this …
blood smear is still the “gold standard” for malaria diagnosis. One of the drawbacks of this …
Tile-based microscopic image processing for malaria screening using a deep learning approach
FA Shewajo, KA Fante - BMC Medical Imaging, 2023 - Springer
Background Manual microscopic examination remains the golden standard for malaria
diagnosis. But it is laborious, and pathologists with experience are needed for accurate …
diagnosis. But it is laborious, and pathologists with experience are needed for accurate …
Deep learning approach for malaria parasite detection in thick blood smear images
HA Nugroho, R Nurfauzi - 2021 17th International Conference …, 2021 - ieeexplore.ieee.org
Malaria is caused by a bite of female anopheles mosquitos transmitting the parasite
Plasmodium into human bodies. Malaria is a common disease in tropical and subtropical …
Plasmodium into human bodies. Malaria is a common disease in tropical and subtropical …
GGB color normalization and faster-RCNN techniques for malaria parasite detection
HA Nugroho, R Nurfauzi - 2021 IEEE International Biomedical …, 2021 - ieeexplore.ieee.org
Malaria is a disease transmitted by a female mosquito anopheles bite. Malaria commonly
occurs in tropical and sub-tropical regions that having minimum health facilities. Promising …
occurs in tropical and sub-tropical regions that having minimum health facilities. Promising …
[PDF][PDF] Artificial Intelligence System for Malaria Diagnosis.
PA Barracloug, CM Were, H Mwangakala… - … Journal of Advanced …, 2024 - saiconference.com
Malaria threats have remained one of the major global health issues over the past decades
specifically in lowmiddle income countries. 70% of the Kenya population lives in malaria …
specifically in lowmiddle income countries. 70% of the Kenya population lives in malaria …
Malarial Parasite Detection in Blood Smear Microscopic Images: A Review on Deep Learning Approaches
KA Fante, F Abdurahman - Convolutional Neural Networks for …, 2022 - taylorfrancis.com
Malaria is one of the deadly tropical and subtropical diseases in the world, especially in the
developing countries of Africa, Asia, and Latin American continents. It is transmitted by the …
developing countries of Africa, Asia, and Latin American continents. It is transmitted by the …
Improved Otsu Algorithm for Segmentation of Malaria Parasite Images
MK Sangole, ST Gandhe… - Medical Imaging and …, 2022 - Wiley Online Library
Malaria is a severe worldwide medical issue that is accountable for approximately one
million losses of life every year. Currently, many developing countries have an increasing …
million losses of life every year. Currently, many developing countries have an increasing …
Modified CNN Model for Malaria Diagnosis.
NB Mustare - Journal of Positive School Psychology, 2022 - search.ebscohost.com
Malaria could be a syndrome triggered by a sort of tiny parasite transmitted to humans from
contaminated feminine mosquito bites. It could be a devastating illness that's wide in …
contaminated feminine mosquito bites. It could be a devastating illness that's wide in …
Tile-based microscopic image processing for malaria screening using deep learning approach
F Abdurahman, KA Fante - 2022 - researchsquare.com
Background: Manual microscopic examination remains the golden standard for malaria
diagnosis. However, it is cumbersome and requires the experience of pathologists for …
diagnosis. However, it is cumbersome and requires the experience of pathologists for …
Random Forest Classifier-Based Acute Lymphoblastic Leukemia Detection from Microscopic Blood Smear Images
M Jasthi, N Prasath, R Saikia, SS Devi - International Conference on Data …, 2023 - Springer
Acute lymphoblastic leukemia (ALL) is a cancerous condition which affects bone marrow
and blood. It is a fast developing illness that, if not identified and treated as soon as possible …
and blood. It is a fast developing illness that, if not identified and treated as soon as possible …