A deep learning CNN model for genome sequence classification

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Vector Quantized Convolutional Autoencoder for Low-Dose CT Image Reconstruction with Perceptual and Bias Reducing Loss

S Ramanathan, M Ramasundaram - Journal of Uncertain Systems, 2023 - World Scientific
In medical imaging, Computed Tomography (CT) is one of the most often utilized imaging
modalities for diagnosing different disorders. Deep learning has become significant in the …
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Vector Quantized Convolutional Autoencoder Network for LDCT Image Reconstruction with Hybrid Loss

S Ramanathan, M Ramasundaram - SN Computer Science, 2023 - Springer
Medical image reconstruction is the process of creating high-quality and accurate images.
During acquisition, these devices capture raw measurements or signals that represent the …
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Biological Sequence Classification Using Deep Learning Architectures

A Sivasubramanian, VR Prashanth… - … : Proceedings of ICICC …, 2022 - Springer
Finding similar biological sequences to categorize into respective families is an important
task. The present works attempt to use machine learning-based approaches to find the …
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Edge Computing in Healthcare: Concepts, Tools, Techniques, and Use Cases

S Ramanathan, A Pineda-Briseno… - Handbook of AI …, 2024 - taylorfrancis.com
Edge computing is a type of technology that makes use of massive amounts of data via a
distributed computing paradigm. Internet of Things (IoT) devices help to produce this …
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