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Deep learning and medical image analysis for COVID-19 diagnosis and prediction
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
Augmenting medical imaging: a comprehensive catalogue of 65 techniques for enhanced data analysis
M Cossio - ar**
of the brain's white matter connections. White matter parcellation classifies tractography …
of the brain's white matter connections. White matter parcellation classifies tractography …
Automatic identification of medically important mosquitoes using embedded learning approach-based image-retrieval system
Mosquito-borne diseases such as dengue fever and malaria are the top 10 leading causes
of death in low-income countries. Control measure for the mosquito population plays an …
of death in low-income countries. Control measure for the mosquito population plays an …
Deep learning based classification of multi-label chest X-ray images via dual-weighted metric loss
Y **, H Lu, W Zhu, W Huo - Computers in biology and medicine, 2023 - Elsevier
Thoracic disease, like many other diseases, can lead to complications. Existing multi-label
medical image learning problems typically include rich pathological information, such as …
medical image learning problems typically include rich pathological information, such as …
A comprehensive review of deep learning-based methods for COVID-19 detection using chest X-ray images
The novel coronavirus disease 2019 (COVID-19) added tremendous pressure on healthcare
services worldwide. COVID-19 early detection is of the utmost importance to control the …
services worldwide. COVID-19 early detection is of the utmost importance to control the …