International Journal of Advances in Science, Engineering and Technology(IJASEAT)
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Volume-8,Issue-1  ( Jan, 2020 )
Statistics report
Jun
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
  Journal Paper

Paper Title
An Endometrial Cancer Image Compression With Lossless Region of Interest

Abstract
Medical Imaging is an important keystone of modern healthcare and will continue to play a role of ever increasing importance at all levels of the healthcare system due to advances in imaging technology (US,CT, MR and Molecular Imaging). Due to this big data of medical images compression is required to achieve efficient transmission and storage. The proposed procedure is applied to diverse ultrasound cancerous images (endometrial cancer). Hence diagnosis of this type of uterus cancer in the premier stage is crucial, certain segmentation algorithms are applied and these will separate the infected region from the background which will be easy for the medical practitioners to decide the cancer and steer medication. The US image which is developed from an organ is applied to SRAD filter for preprocessing and the filtered image is given to level set segmentation and finally the contextual part of the image is encoded selectively on the high priority basis with a very low compression rate using wavelet decomposition. Index Terms— Endometrial cancer segmentation; Lossless compression; Speckle noise; Ultrasound image.


Author - Lidiya Lilly Thampi, Varghese Paul

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| Published on 2017-03-06
   
   
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