[HTML][HTML] A comparative study of X-ray and CT images in COVID-19 detection using image processing and deep learning techniques

HM Shyni, E Chitra - Computer Methods and Programs in Biomedicine …, 2022 - Elsevier
The deadly coronavirus has not just devastated the lives of millions but has put the entire
healthcare system under tremendous pressure. Early diagnosis of COVID-19 plays a …

Multi-scale sparse network with cross-attention mechanism for image-based butterflies fine-grained classification

M Li, G Zhou, W Cai, J Li, M Li, M He, Y Hu, L Li - Applied Soft Computing, 2022 - Elsevier
Butterfly protection is critical for environmental protection, and butterfly classification study is
an essential tool for doing so. We proposed a new fine-grained butterfly classification …

[Retracted] Blockchain‐Based Privacy Access Control Mechanism and Collaborative Analysis for Medical Images

PS Prasad, GN Beena Bethel, N Singh… - Security and …, 2022 - Wiley Online Library
Medical image analysis technology based on deep learning has played an important role in
computer‐aided disease diagnosis and treatment. Classification accuracy has always been …

A self-supervised learning network for remote heart rate measurement

N Zhang, HM Sun, JR Ma, RS Jia - Measurement, 2024 - Elsevier
The rPPG technology is a facial video-based non-contact physiological parameter detection
technology, which has been widely used in the measurement of heart rate, respiration, blood …

STSN-Net: Simultaneous Tooth Segmentation and Numbering Method in Crowded Environments with Deep Learning

S Wang, S Liang, Q Chang, L Zhang, B Gong, Y Bai… - Diagnostics, 2024 - mdpi.com
Accurate tooth segmentation and numbering are the cornerstones of efficient automatic
dental diagnosis and treatment. In this paper, a multitask learning architecture has been …

A Medical Imaging Review for COVID-19 Detection and its Comparison to Pneumonia

B Bryant, MR Abid - 2021 IEEE 12th Annual Information …, 2021 - ieeexplore.ieee.org
COVID-19 has claimed millions of lives and devastated economies worldwide. In efforts to
control and limit the spread of COVID-19 many early detection methods are reviewed in this …

Advanced medical image segmentation enhancement: a particle-swarm-optimization-based histogram equalization approach

S Saifullah, R Dreżewski - Applied Sciences, 2024 - mdpi.com
Accurate medical image segmentation is paramount for precise diagnosis and treatment in
modern healthcare. This research presents a comprehensive study of the efficacy of particle …

[HTML][HTML] SWM-DE: Statistical wavelet model for joint denoising and enhancement for multimodal medical images

IP Okuwobi, Z Ding, J Wan, J Jiang - Medicine in Novel Technology and …, 2023 - Elsevier
Medical images are usually degraded by numerous noises during acquisition or
transmission, which often causes low contrast leading to deterioration of image quality. As …

An efficient hybrid approach for medical images enhancement

SK Saroj - ELCVIA Electronic Letters on Computer Vision and …, 2022 - elcvia.cvc.uab.cat
Medical images have various critical usages in the field of medical science and healthcare
engineering. These images contain information about many severe diseases. Health …

Study of Deep Learning Approaches for Diagnosing Covid-19 Disease using Chest CT Images

S Anjugam, ALR PJ - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
Since March 2020, the World Health Organization (WHO) has declared COVID-19 a
pandemic. An evolving viral infection with respiratory tropism causes atypical pneumonia …