Computational 2D and 3D Medical Image Data Compression Models

S. Boopathiraja

doi:10.1007/s11831-021-09602-w

Computational 2D and 3D Medical Image Data Compression Models

2021-05-07

9

OA

AI

V. B. Surya Prasath *

DOI：10.1007/s11831-021-09602-w

原文链接

查看原文

摘要

En 中文

In this world of big data, the development and exploitation of medical technology is vastly increasing and especially in big biomedical imaging modalities available across medicine. At the same instant, acquisition, processing, storing and transmission of such huge medical data requires efficient and robust data compression models. Over the last 2 decades, numerous compression mechanisms, techniques and algorithms were proposed by many researchers. This work provides a detailed status of these existing computational compression methods for medical imaging data. Appropriate classification, performance metrics, practical issues and challenges in enhancing the two dimensional (2D) and three dimensional (3D) medical image compression arena are reviewed in detail.

Keyword:

LOSSLESS COMPRESSION

DICOM IMAGES

EFFICIENT

DECOMPOSITION

TRUNCATION

TRANSFORM

VIDEO

INFORMATION

REGION

VOLUME

Computational 2D and 3D Medical Image Data Compression Models

摘要

AI总结

期刊

机构