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Article
Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks
The current COVID-19 pandemic has motivated the researchers to use artificial intelligence techniques for a potential alternative to reverse transcription-polymerase chain reaction due to the limited scale of ...
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Article
VIRFIM: an AI and Internet of Medical Things-driven framework for healthcare using smart sensors
After affecting the world in unexpected ways, the virus has started mutating which is evident with the insurgence of its new variants. The governments, hospitals, schools, industries, and humans, in general, a...
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Article
Hybrid and hierarchical fusion networks: a deep cross-modal learning architecture for action recognition
Two-stream networks have provided an alternate way of exploiting the spatiotemporal information for action recognition problem. Nevertheless, most of the two-stream variants perform the fusion of homogeneous m...
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Article
Semantic Image Networks for Human Action Recognition
In this paper, we propose the use of a semantic image, an improved representation for video analysis, principally in combination with Inception networks. The semantic image is obtained by applying localized sp...
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Article
A framework for retinal vessel segmentation from fundus images using hybrid feature set and hierarchical classification
Retinal blood vessels play an imperative role in detection of many ailments, such as cardiovascular diseases, hypertension, and diabetic retinopathy. The automated way of segmenting vessels from retinal images...