Challenges of Medical Text and Image Processing
Iswanto Iswanto1, M. Ilayaraja2, K. Shankar3, Phong Thanh Nguyen4, Satria Abadi5
1Iswanto Iswanto, Department of Engineer Profession Program, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.
2M. Ilayaraja, Department of Computer Science and Information Technology, Kalasalingam Academy of Research and Education, Krishnankoil (Tamil Nadu), India.
3K. Shankar, Department of Computer Applications, Alagappa University, Karaikudi (Tamil Nadu), India.
4Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
5Satria Abadi, Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia.
Manuscript received on 15 September 2019 | Revised Manuscript received on 24 September 2019 | Manuscript Published on 10 October 2019 | PP: 969-973 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F12920886S219/19©BEIESP | DOI: 10.35940/ijeat.F1292.0886S219
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. 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 processing of medical image has encountered sensational development, and its researching is doing by almost every field of engineering or medical sciences like designing, insights, material science, science and medication. CADxprocessing has recently transformed into a critical bit of clinical day by day practice. Joined by a flood of new headway of high advancement and use of various imaging modalities, more challenges develop; for example, how to process and separate a basic volume of images with the objective that splendid information can be conveyed for ailment ends and treatment. Thusly, the inside steps of image examination, to be explicit: include extraction, division, order, quantitative estimations, and translation are displayed in sperate portions. Because of its high importance, the attention is on division of biomedical image. Remarkable division methodologies and strategies have been made in the medical application zone. The principle goals of this paper are to give a preamble to crucial thoughts and frameworks for medicinal image taking care of and to propel interests for further assessment and research in medical imaging handling. We will display the Medical Image Processing and layout related research work around there.
Keywords: Segmentation, MRI, Visualization, Biomedical Image Processing.
Scope of the Article: Image Processing and Pattern Recognition