1 publication

• Published Subscription 14 Mar 2014

  Q-Metrics for Early Detection of Cervical Cancer

  By A. Das, A. Kar, D. Bhattacharyya

  Abstract: The most prevalent form of cancer in women worldwide is uterine cervical cancer. Through screening programs aimed at detecting precancerous lesions most cases of cervical cancer can be prevented. In this article, Q-metrics has been proposed for carrying out automated image segmentation of uterine cervical cancer. The validation of detection of cervical lesions is an important issue in medical image processing because it has a specific impact on surgical planning. …

  Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 26–30 Read article →