Implementasi Gabor Wavelet dan Support Vector Machine pada Deteksi Polycystic Ovary (PCO) Berdasarkan Citra Ultrasonografi
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Adiwijaya, PN Faoziyah, FP Permana, TAB Wirayuda, UN Wisesty, Tamper detection and recovery of medical image watermarking using modified LSB and Huffman compression, Second International Conference on Informatics and Applications (ICIA) 2013 pp.129 – 132. Crossref
Adiwijaya, B. Purnama, U.N. Wisesty, A. Hasyim, Maulida, W. Astuti, Follicle Detection on the USG Images to Support Determination Polycystic Ovary Syndrome, Journal of Physics: Conference Series 622 (2015) 012027, Crossref
Isnanto, R. Rizal, Identifikasi Iris Mata Menggunakan Tapis Gabor Wavelet Dan Jaringan Syaraf Tiruan Learning Vector Quantization (LVQ), Universitas Diponegoro, Semarang,2009.
Nooshin Nabizadeh1, Miroslav Kubat2, Nigel John3, Clinton Wright4, Efficacy of Gabor-Wavelet versus Statistical Features for Brain Tumor Classification in MRI: A Comparative Study, Electrical and Computer Engineering Department, University Of Miami.
P. Yang, S. Shan, W. Gao, S. Z. Li, D. Zhang, Face Recognition Using Ada-Boosted Gabor Features, The 6th IEEE International Conference On Automatic Face And Gesture Recognition (Fg2004), Seoul, Korea.
Paulus, Klasifikasi Golongan Darah Menggunakan Gabor Wavelet Dan Support Vector Machine (SVM), Bandung, 2009.
Nugroho, Anto Satriyo, dkk, Support Vector Machine-Teori dan Aplikasinya dalam bioinformatika.
Trimiarsih, Zulfah Aprilianti, “Klasifikasi Kanker Usus berdasarkan Citra Mikroskopik Patologi Menggunakan Contourlet
Transform dan Support Vector Machine (SVM)â€, Institut Teknologi Bandung, Bandung, 2013.
Adiwijaya, Aplikasi Matriks dan Ruang Vektor, Graha Ilmu, 2014.
C. J. Liuand H.Wechsler, Gabor feature based classification using the enhanced fisher linear discriminant model for face
recognition, IEEE Trans.Image Process., 11:467-476, 2002. Crossref
Setiawati,E.,Adiwijaya,Tjokorda,A.B.W.,ParticleSwarmOptimizationonfolliclessegmentationtosupportPCOSdetection,
International Conference on Information and Communication Technology (ICoICT) 2015,
Littlewort-Ford, Gwen, Detecting Genuine Smiles With Support Vector Machines and Gabor Wavelets, Institute for Neural
Computation, UCSD.
Lukas, Prisilia, Perancangan Aplikasi Sistem Pengenalan Iris Mata Menggunakan Metode Gabor Wavelet Pada Ekstraksi Ciri, Medan, 2013.
M. J. Lyons, Julien Budynek, Andre Plantey, Shigeru Akamatsu, Classifying Facial Attributes Using A 2-D Gabor Wavelet Representation And Discriminant Analysis, The 4th IEEE International Conference On Automatic Face And Gesture Recognition (Fg 2000), 26-30 March 2000, Grenoble, France.
Purnama, Bedy, Wisesty, Untari N., Adiwijaya, Nhita, F., Gayatri , A., Mutiah, T., A classification of polycystic Ovary Syndrome based on follicle detection of ultrasound images, Information International Conference on Information and Communication Technology (ICoICT) 2015, Crossref
Ashika, 2013, Ovarian Follicle Detection for Polycystic Ovary Syndrome using Fuzzy C-Means Clustering, International Journal of Computer Trends and Technology (IJCTT) volume 4 Issue 7.
Akkasaligar,PremaT.andMalagaviGirijammaV.2014.DetectionofCystsinMedicalUltrasoundImagesofOvary.InProc. SARC-IRF 5th International Conference Bangalore, India. ISBN 978-93-84209-13-1.
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