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- W2942963062 abstract "Due to the advancement in the field of information technology, medical image processing has become the most eminent image processing field in this era. The medical image needs to be stored and transmitted for telemedicine purpose. Due to the huge size of medical images, it becomes very difficult to store and transmit it over the network. Image compression is a significant toolto reduce the redundancies and irrelevant informationof the image for efficient archival and fast transmission. The paper provides the state-of-the-art survey fornon-ROI (i.e. lossless) and ROI based (i.e. hybrid region of interest)techniques available in the area of medical image compression. The paper will provide help for researchers to understand the different techniques of medical image compression with theircomparative analysis for further research in this area." @default.
- W2942963062 created "2019-05-09" @default.
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- W2942963062 date "2018-12-01" @default.
- W2942963062 modified "2023-09-26" @default.
- W2942963062 title "ROI and Non-ROI based Medical Image Compression Techniques: A Survey and Comparative Review" @default.
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- W2942963062 doi "https://doi.org/10.1109/icsccc.2018.8703337" @default.
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