Review of Existing Techniques of Lung Nodule Cancer Detection and Existing Algorithms That Can Be Used for Efficient Detection in Future
Nidhi1, Shilpa Mehta2
1Nidhi, Department of Computer Science, National Institute of Technology, Kurukshetra, India
2Shilpa Mehta, Department of Computer Science and Technology, JMIT, Radaur,India.
Manuscript received on February 11, 2014. | Revised Manuscript received on February 15, 2014. | Manuscript published on February 25, 2014. | PP:1-3 | Volume-2 Issue-4, February 2014. | Retrieval Number: C0628012314/2014©BEIESP
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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 paper studies the various methods of lung nodule cancer detection their advantage and disadvantage. The paper further aims at suggesting existing methods which can be used in detection of lung nodules of very small size accurately. The suggested methods have higher level of accuracy than existing methods thus if incorporated in detection for nodule can generate higher level of accuracy.
Keywords: CAD, HRCT, rotation invariance, CT, FCM, LBP and LBPV