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[HTML][HTML] Image analysis and machine learning for detecting malaria
Malaria remains a major burden on global health, with roughly 200 million cases worldwide
and more than 400,000 deaths per year. Besides biomedical research and political efforts …
and more than 400,000 deaths per year. Besides biomedical research and political efforts …
Computational methods for automated analysis of malaria parasite using blood smear images: recent advances
Malaria comes under one of the dangerous diseases in many countries. It is the primary
reason for most of the causalities across the world. It is presently rated as a significant cause …
reason for most of the causalities across the world. It is presently rated as a significant cause …
Multi-grade brain tumor classification using deep CNN with extensive data augmentation
Numerous computer-aided diagnosis (CAD) systems have been recently presented in the
history of medical imaging to assist radiologists about their patients. For full assistance of …
history of medical imaging to assist radiologists about their patients. For full assistance of …
Secure and robust fragile watermarking scheme for medical images
Due to the advances in computer-based communication and health services over the past
decade, the need for image security becomes urgent to address the requirements of both …
decade, the need for image security becomes urgent to address the requirements of both …
Deep malaria parasite detection in thin blood smear microscopic images
Malaria is a disease activated by a type of microscopic parasite transmitted from infected
female mosquito bites to humans. Malaria is a fatal disease that is endemic in many regions …
female mosquito bites to humans. Malaria is a fatal disease that is endemic in many regions …
Multi-stage malaria parasite recognition by deep learning
S Li, Z Du, X Meng, Y Zhang - GigaScience, 2021 - academic.oup.com
Motivation Malaria, a mosquito-borne infectious disease affecting humans and other
animals, is widespread in tropical and subtropical regions. Microscopy is the most common …
animals, is widespread in tropical and subtropical regions. Microscopy is the most common …
[HTML][HTML] An empirical evaluation of convolutional networks for malaria diagnosis
Malaria is a globally widespread disease caused by parasitic protozoa transmitted to
humans by infected female mosquitoes of Anopheles. It is caused in humans only by the …
humans by infected female mosquitoes of Anopheles. It is caused in humans only by the …
Automatic detection of Plasmodium parasites from microscopic blood images
Malaria is caused by Plasmodium parasite. It is transmitted by female Anopheles bite. Thick
and thin blood smears of the patient are manually examined by an expert pathologist with …
and thin blood smears of the patient are manually examined by an expert pathologist with …
A decision support system for multi-target disease diagnosis: A bioinformatics approach
Malaria and typhoid fever are revered for their ability to individually or jointly cause high
mortality rate. Both malaria and typhoid fever have similar symptoms and are famous for …
mortality rate. Both malaria and typhoid fever have similar symptoms and are famous for …
Generalized fractional optimization-based explainable lightweight CNN model for malaria disease classification
Over the past few decades, machine learning and deep learning (DL) have incredibly
influenced a broader range of scientific disciplines. DL-based strategies have displayed …
influenced a broader range of scientific disciplines. DL-based strategies have displayed …