A Research Based on Medical Image Processing in Various Healthcare Industries
Ramya M1., Nandhini P.2, Nisha R.3, Suganya P.4
1Ramya. M, PG Scholar, Department of Computer Science and Engineering, Jansons Institute of Technology, Coimbatore (Tamil Nadu), India.
2Nandhini.P PG Scholar, Department of Computer Science and Engineering, Jansons Institute of Technology, Coimbatore (Tamil Nadu), India.
3Nisha.R, PG Scholar, Department of Computer Science and Engineering, Jansons Institute of Technology, Coimbatore (Tamil Nadu), India.
4Suganya.P, Assistant Professor, Department of Computer Science and Engineering, Jansons Institute of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on November 12, 2018. | Revised Version Manuscript Received on November 18, 2018. | Manuscript published on November 20, 2018. | PP: 19-24 | Volume-5 Issue-2, November 2018. | Retrieval Number: A0853115118
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Survey is based on the Medical Image Processing in various Healthcare Industries to overcome the risk of diseases. Some of the healthcare applications are Early Diagnostics, Patient Health Record, Lung Cancer, Alzheimer’s disease, Parkinson’s disease, Fish Disease, Retinal Disease, and Brain Tumor. The impact of medical image processing plays a vital role in healthcare industry for the diagnosis of disease. It will be helpful for the doctor to effectively analyse disease in a short span of time. Medical Image processing is the technique and process of creating visual representations of the interior of a body for clinical analysis and medical intervention, as well as visual representation of the function of some organs or tissues. In this research paper, Analysis of various healthcare applications was discussed.
Keywords: Early Diagnostic, Lung Cancer, Alzheimer’s Disease, Parkinson’s Disease, Fish Disease, Retinal Disease, Brain Tumor.