[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 …
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 …
Evaluations of deep convolutional neural networks for automatic identification of malaria infected cells
This paper studied automatic identification of malaria infected cells using deep learning
methods. We used whole slide images of thin blood stains to compile an dataset of malaria …
methods. We used whole slide images of thin blood stains to compile an dataset of malaria …
Unsupervised deep learning cad scheme for the detection of malaria in blood smear microscopic images
Recent advances in deep learning, coupled with the onslaught of unlabelled medical data
have drawn ever-increasing research interests by discovering multiple levels of distributed …
have drawn ever-increasing research interests by discovering multiple levels of distributed …
From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film
Artificial intelligence (AI) and its application in classification of blood cells in the peripheral
blood film is an evolving field in haematology. We performed a rapid review of the literature …
blood film is an evolving field in haematology. We performed a rapid review of the literature …
Classification of malaria-infected cells using deep convolutional neural networks
WD Pan, Y Dong, D Wu - Machine learning: advanced …, 2018 - books.google.com
Malaria is a life-threatening disease caused by parasites that are transmitted to people
through the bites of infected mosquitoes. Automation of the diagnosis process will enable …
through the bites of infected mosquitoes. Automation of the diagnosis process will enable …
Dlrfnet: deep learning with random forest network for classification and detection of malaria parasite in blood smear
In healthcare, observing the features and areas of malaria in microscopic images is crucial
for the diagnosis and treatment of plasmodium malaria parasites for automated detection …
for the diagnosis and treatment of plasmodium malaria parasites for automated detection …
Efficient deep learning-based approach for malaria detection using red blood cell smears
Malaria is an extremely malignant disease and is caused by the bites of infected female
mosquitoes. This disease is not only infectious among humans, but among animals as well …
mosquitoes. This disease is not only infectious among humans, but among animals as well …
Classification accuracies of malaria infected cells using deep convolutional neural networks based on decompressed images
In many biomedical applications, images are stored and transmitted in the form of
compressed images. However, typical pattern classifiers are trained using original images …
compressed images. However, typical pattern classifiers are trained using original images …