2 publications
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Published Subscription
Performance Analysis of Segmentation using Thresholding Technique and K-means Clustering Techniques in MammogramsBy S. Palpandi
Abstract: The main objective of the study is the attainment of proper segmentations of mammographic images which are taken from Mammographic Image Analysis Society (MIAS) digital mammogram database. In this study normal breast images and breast image with masses used as the standard input to the proposed system are taken from Mammographic Image Analysis Society (MIAS) digital mammogram database so as to be used in tasks such as to find micro …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 1, Issue 1, 2011 Read article →
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Published Subscription
Automatic Detection of Air Holes Inside The Esophagus in CT ImagesBy S. Palpandi, A.C. Rajaannamalai
Abstract: Automatic esophagus segmentation is a challenging problem. The wall of the esophagus consists of muscle tissue, which has a low contrast to vessels, other muscles and lymph nodes. Shape and appearance can vary a lot. It appears solid if it is empty, but it can also be filled with air, remains of orally given contrast agent, or both. Even for a human, it is often impossible to accurately delineate the …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 1, Issue 1, 2011 Read article →