Optimal medical image size reduction model creation using recurrent neural network and GenPSOWVQ

C Sridhar, PK Pareek, R Kalidoss… - Journal of …, 2022 - Wiley Online Library
Medical diagnosis is always a time and a sensitive approach to proper medical treatment.
Automation systems have been developed to improve these issues. In the process of …

IntOPMICM: intelligent medical image size reduction model

PK Pareek, C Sridhar, R Kalidoss… - Journal of …, 2022 - Wiley Online Library
Due to the increasing number of medical imaging images being utilized for the diagnosis
and treatment of diseases, lossy or improper image compression has become more …

Investigative protocol design of layer optimized image compression in telemedicine environment

ST Ahmed, S Sankar - Procedia Computer Science, 2020 - Elsevier
Telemedicine in India is expanding and thus it is essential for application to reduce storage
and transmission bandwidth. The prime objective in this paper is to demonstrate an …

An evolutionary lion optimization algorithm‐based image compression technique for biomedical applications

K Geetha, V Anitha, M Elhoseny, S Kathiresan… - Expert …, 2021 - Wiley Online Library
Recently, medical image compression becomes essential to effectively handle large
amounts of medical data for storage and communication purposes. Vector quantization (VQ) …

[HTML][HTML] Robust medical image compression based on wavelet transform and vector quantization

PNT Ammah, E Owusu - Informatics in medicine unlocked, 2019 - Elsevier
Medical imaging, such as Magnetic Resonance Imaging (MRI), Computed Tomography
(CT), and Ultrasound, serves as a precursor for determining a patient's expedition towards …

Image compression techniques: A survey in lossless and lossy algorithms

AJ Hussain, A Al-Fayadh, N Radi - Neurocomputing, 2018 - Elsevier
The bandwidth of the communication networks has been increased continuously as results
of technological advances. However, the introduction of new services and the expansion of …

An improved medical image compression technique with lossless region of interest

Z Zuo, X Lan, L Deng, S Yao, X Wang - Optik, 2015 - Elsevier
Hospitals and medical centers produce an enormous amount of digital medical images
every day, which are used for different purposes such as surgical and diagnostic plans. The …

DCT-based medical image compression using machine learning

K Dimililer - Signal, Image and Video Processing, 2022 - Springer
Medical images need to be efficiently compressed before transmission and storage, due to
the storage capacity and constrained bandwidth issues. An ideal image compression system …

A novel image processing approach to enhancement and compression of X-ray images

Y Pourasad, F Cavallaro - … Journal of Environmental Research and Public …, 2021 - mdpi.com
At present, there is an increase in the capacity of data generated and stored in the medical
area. Thus, for the efficient handling of these extensive data, the compression methods need …

Security assured CNN-based model for reconstruction of medical images on the internet of healthcare things

S More, J Singla, S Verma, U Ghosh… - IEEE …, 2020 - ieeexplore.ieee.org
Medical Imaging is the most significant technique that constitutes information needed to
diagnose and make the right decisions for treatment. These images suffer from inadequate …