• Prachi Pushpshil Surlakar

Image segmentation is a technique to divide an image into small segments which is easier to examine. It plays an essential role in medicine field to improve the quality of medical diagnosis by automating the extraction of region of interest (ROI) from an image. The purpose of this paper is to provide a review of the different applications of image segmentation in the field of medicine and the various segmentation algorithms used. The different applications include detection of lung nodules, skin legion segmentation, brain tumor detection etc. The various segmentation algorithms include threshold method, K-Means algorithm, watershed algorithm etc.

Image segmentation, medical diagnosis, region of interest, applications, segmentation algorithms.

"STUDY OF APPLICATIONS AND ALGORITHMS OF IMAGE SEGMENTATION IN THE FIELD OF MEDICINE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.133-135, December-2018, Available :http://www.jetir.org/papers/JETIR1812820.pdf

"STUDY OF APPLICATIONS AND ALGORITHMS OF IMAGE SEGMENTATION IN THE FIELD OF MEDICINE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp133-135, December-2018, Available at : http://www.jetir.org/papers/JETIR1812820.pdf