Evaluation of artificial intelligence techniques in disease diagnosis and prediction
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …
through high-tech digital devices. The application of artificial intelligence (AI) in the …
A review of deep learning with special emphasis on architectures, applications and recent trends
Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
Diagnosing COVID-19 pneumonia from X-ray and CT images using deep learning and transfer learning algorithms
The novel coronavirus 2019 (COVID-19) first appeared in Wuhan province of China and
spread quickly around the globe and became a pandemic. The gold standard for confirming …
spread quickly around the globe and became a pandemic. The gold standard for confirming …
A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse …
Several infectious diseases have affected the lives of many people and have caused great
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
Machine learning and applications in microbiology
To understand the intricacies of microorganisms at the molecular level requires making
sense of copious volumes of data such that it may now be humanly impossible to detect …
sense of copious volumes of data such that it may now be humanly impossible to detect …
Transfer learning with ResNet-50 for malaria cell-image classification
Malaria is an infectious disease caused by single-celled parasite of plasmodium group. The
disease is more often spread by an Infected Female Anopheles mosquito. In 2017 alone 219 …
disease is more often spread by an Infected Female Anopheles mosquito. In 2017 alone 219 …
Machine learning model for predicting malaria using clinical information
YW Lee, JW Choi, EH Shin - Computers in Biology and Medicine, 2021 - Elsevier
Background Rapid diagnosing is crucial for controlling malaria. Various studies have aimed
at develo** machine learning models to diagnose malaria using blood smear images; …
at develo** machine learning models to diagnose malaria using blood smear images; …
Diva: Domain invariant variational autoencoders
We consider the problem of domain generalization, namely, how to learn representations
given data from a set of domains that generalize to data from a previously unseen domain …
given data from a set of domains that generalize to data from a previously unseen domain …
Deep learning approach to detect malaria from microscopic images
A Vijayalakshmi - Multimedia Tools and Applications, 2020 - Springer
Malaria is an infectious disease which is caused by plasmodium parasite. Several image
processing and machine learning based techniques have been employed to diagnose …
processing and machine learning based techniques have been employed to diagnose …
Deep learning based automatic malaria parasite detection from blood smear and its smartphone based application
Malaria is a life-threatening disease that is spread by the Plasmodium parasites. It is
detected by trained microscopists who analyze microscopic blood smear images. Modern …
detected by trained microscopists who analyze microscopic blood smear images. Modern …