Application of compression after the detection of endometrial carcinoma imaging: Future scopes

Abstract

Medical Imaging is an important keystone of modem 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 ultrasound image which is developed from an organ is preprocessed and the filtered image is given to level set segmentation and finally the contextual part of the image is encoded using wavelet decomposition.