Segmentation of Sputum Color Image for Lung Cancer Diagnosis Based on Neural Networks

IEICE Transactions on Information and Systems

Volumn E81-D, Issue 8, 1998, Pages 862-871

  Sammouda, Rachid ^a,b   Nishitani, Hiromu ^a   Kyokage, Emi ^b  

^a UNIVERSITY OF TOKUSHIMA   (Japan)

^b UNIVERSITY OF TOKUSHIMA   (Japan)

Author keywords

Hopfield neural nenvork; Optimization; Rgb images; Segmentation; Sputum cells, lung cancer diagnosis

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DATABASE SYSTEMS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; NEURAL NETWORKS; PULMONARY DISEASES;

HOPFIELD NEURAL NETWORK; SPUTUM CELLS;

COLOR IMAGE PROCESSING;

EID: 0032142477     PISSN: 09168532     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. [ l ] J. Mayo, N. L. Muller, and R.M. Henkelman, "The double-fissure sign: A motion artifact on thin section CT scans," Radiology, vol.165, pp.50-581, 1987.
2. R. D. Tarver, D. L. Conces, and J. D. Godwin, "Motion artifacts on CT simulate bronchiectasis," Am. J. Roentgenol., vol.151, pp.1117-1119, 1988.
3. J. Hsiel, "A genral approach to the reconstruction of the X-ray helical computed tomography," Med. Phy., vol.23, no.2, pp.221229, Feb. 1996.
4. J. K. Lin and Yee-Hong, "Multiresolution color image segmentation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol.16, no.7, pp.689-700, July 1994.
5. J. S. Lin, K. S. Chenz, and C- W. Mao, "A fuzzy hopfield neural for medical image segmentation," IEEE Trans. Nuclear Science, vol.43, no.4, Aug. 1996.
6. Y. W. Line and S. UK Lee, "On the color image segmentation algorithm based on the thresholding and fazzy C-means techniques," Pattern Recognition, vol.23, no.9, pp.935-952, 1990.
7. Papanicalaou ON & Tränt HF, "Diagnosis of Uterine Cancer by the Vaginal Smear," Oxford University press, New York, 1943.
8. S. C. Amartur, D. Piraino, and Y. Kakefuji, "Optimization neural networks for the segmentation of magnetic resonance images," IEEE Trans. Medical Imaging, vol.11, no.2, June 1992.
9. R. Sammouda, N. Niki, and H. Nishitani, "Segmentation of brain MR images based on neural networks," IEICE Trans. Inf. & Syst., vol.E79-D, no.4, pp.349-356, April 1996.