IJRSAT
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I S S N 2319-2690
IJRSAT
International Journal for Research In Science & Advanced Technologies
" Enriching The Research "
International, Peer Reviewed, Open Access Journal
ISSN Approved Journal No. 2319-2690
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DOI Prefix: 10.65726

Publication Details

A Review on Federated Learning Frame work for Medical Image Analysis
A Neela sundari, Dr.S.Sathiya, Dr.Gogineni Rajesh Chandra
Year: 2024  |  Volume: 24  |  Issue: 8

Abstract

Now a days people are visiting hospitals frequently from their middle age due to different diseases after covid-19. They get their health conditions check through medical images. Non-Government medical organizations are maintaining the datasets for patientโ€™s digital images. MRI Scanning is most useful for identification of many diseases. All MRI images are storing in data sets in DICOM Format only. Medical image security in India is demanding. The images help Physicians for future treatment and provide an accurate diagnosis without the need for presumptuous procedure. Digital images are available in DICOM format only. Up to now, research surveys not constructed efficient federated learning framework for medical images. in this study we have to find out the best suitable framework and provide high security to medical images though SHA 1024 algorithm.