References
[1]. Devesh D. Nawgaje, Dr. R.D. Kanphade, Dr. N.B.
Chopade, S. B. Patil, (2010). “White Blood Cell Cancer
Detection Using Fuzzy Logic”, CIT Journal of research, Vol
1, No 1, pp 174-182.
[2]. Ashraf, M.; Kim Le; Xu Huang; (2010), “Information
gain and adaptive neuro-fuzzy inference system for
breast cancer diagnoses”, IEEE, Computer Sciences and
Convergence Information Technology (ICCIT), pp.
911–915.
[3]. H. Yoshida, R. Nishikawa, G. Maryellen, and K. Doi,
(1996). “Computer-aided diagnosis in mammography:
Detection of clustered microcalcifications based on
multiscale edge representation,” in Computer Assisted
Radiology. Amsterdam, The Netherlands: Elsevier.
[4]. SK Kyriacou, C. Dabatzikos, SJ.zinreich, (2002). ”Non
linear elastic recognition of brain images with tumor
pathology”, IEEE Transactions on Medical Imaging, Vol
18, No. 7, pp. 67-78.
[5]. Devesh D. Nawgaje, Dr. R.D. Kanphade, (2011).
“Implementation of ANFIS for Breast Cancer Detection
using TMS320C6713 DSP”, International Journal of
Computer Applications, No. 13, Article 2.
[6]. K.Woods, C. Doss, K. Bowyer, J. Solka, C. Priebe,
andW. Kegelmeyer,] K.Woods, C. Doss, K. Bowyer, J.
Solka, C. Priebe, and W.Kegelmeyer, (1994),
“Comparative evaluation of pattern recognition
techniques for detection of microcalcifications in
mammography,” Int. J. Pattern Recog. Artif.Intel, Vol. 7,
No. 6, pp. 1417–1436.
[7]. Osareh, A.; Shadgar, B (2010), ”Machine learning
techniques to diagnose breast cancer”, IEEE Health
Informatics and Bioinformatics (HIBIT), pp. 114 – 120.
[8]. Lysiya Merlin S, Santhiyakumari N, (2014), “SCR
Technique for biomedical processing using Biomedical
image processing”, Indian Technology congress
Proceedings.
[9]. H. Yoshida, R. Nishikawa, K. Muto, K. Doi, and M.
Tsuda, (1994), “Application of the wavelet transform to
automated detection of clustered microcalcifications in
digital mammograms,” Tokyo Inst. Polytech., Tokyo,
Japan, Academic Rep., Vol. 16.
[10]. Antal, P., Meszaros, T. (2001), Proceedings of
fourteenth IEEE Symposium on computer based Medical
Systems, July 26-27, Bethesda, MD,177-182.
[11]. Dheeba, J.; Tamil Selvi, S.; (2010), “Screening
mammogram images for abnormalities using radial basis
Function Neural Network”, IEEE, Communication Control
and Computing Technologies (ICCCCT), pp. 554 – 559.
[12]. Nawgaje, Dr. R. D. Kanphade, (2011)
“Implementation Of Neural Network For Cancer
Diagnosis”, International Journal of Computer
Applications, No.1, Article 3, Proceeding of National
conference on Information and communication
Technology, Nagpur.
[13]. I. S. Torsun, (1995), “Foundation of intelligent
knowledge based system”, Academic press; 1 edition.
[14]. G. Schaefer, A. Hassanien, J. Jiang, (2009),
“Computational Intelligence in Medical Imaging:
Techniques and Applications”, by Chapman and Hall/CRC press
[15].https://www.ticom/sitesearch/docx/universalsearch.t
sp?searchterm + TMS320C6713#linkID=17src=top.
[16]. P. Kulkarni and Y. Öztürk, (2007), "Requirements and
Design Spaces of Mobile Medical Care," ACM SIGMOBILE
Mobile Computing and Communications Review, Vol.
11, pp. 12-30.
[17]. Devesh D. Nawgaje, R. D. Kanphade, (2011),
“Implementation of Adaptive Neuro Fuzzy Inference
System For Cancer Detection Using TMS320C6711 DSP”,
ACM New York, NY, USA ©2011, Proceeding of
International Conference and workshop on Emerging
Trends and Technology ICWET 2011, Mumbai, pp 608-
612.
