Identifikasi Retinoblastoma Menggunakan Backpropagation Neural Network
DAFTAR PUSTAKA
Abramoff, M.D., Garvin, M. K., Sonka, M. 2010. Retinal imaging and image analysis.
IEEE Reviews in Biomedical Engineering 3:169-208.
Abramson, D. H., Xu, X. L., Wang, L., Qi, D. L., Poulos, B. K., Jhanwar, S. C., Cobrinik,
D. 2014. Rb suppresses human cone-precursor-derived retinoblastoma tumours.
Aerts, I., Ruic, L. L., Gauthier-Villars, M., Brisse, H., Doz, F., Desjardins,
Orphanet
Journal
of
Rare
Disease:
Retinoblastoma.
L., 2006.
(Online)
http://www.ojrd.com/content/1/1/31 (13 April 2017).
Balasundari, C. K., Ulagammal, L., Sivapriya, J. 2016. Diagnosis retinal disease using
image processing techniques. Int. J. of Innovative Research in Computer and
Communication Engineering 4(4):6493-6500.
Chairani, R. 2012. Identifikasi kesuburan pria melalui kelainan sperma melalui morfologi
(teratospermia) menggunakan invariant moment. Skripsi. Univesitas Sumatera
Utara.
Chintagumpala, M., Barrios, P. C., Paysse,E.A., Plon, S. E., Hurwitz, R. 2007.
Retinoblastoma : Review Current Management. (Online) www.AlphaMedPress.com
(13 April 2017).
Chudasama, D., Patel, T., Joshi, S. 2015. Image segmentation using morphological
operation. Int. J. of Computer Application. 177(18): 16-19.
Damayanti, A., Pratiwi, A. B., Miswanto. 2016. Epilepsy detection on EEG data using
backpropagation, firefly algorithm and simulated annealing. 2nd International
Conference on Science and Technology Computer (ICST). Yogyakarta : Indonesia.
Universitas Sumatera Utara
66
Darmawan, D. 2010. Pengenalan wajah dengan metode backpropagation menggunakan
kamera CCTV inframerah. Skripsi. Universitas Indonesia.
Dewi, A. K., Novianty, A., Purboyo, T. W. 2016. Stomach disorder detection through the
iris image using backpropagation neural network. International Conference on
Informatics and Computing (ICIC).
Edi & Siswono, 2009. Gambaran epidemiologi Leukemia anak di Rumah Sakit Kanker
Dharmais Jakarta Tahun 2004-2008. Fakultas Kesehatan Masyarakat Universitas
Indonesia: 1-5.
Fatihah, N. 2016. Identifikasi jenis kayu tropis menggunakan backpropagation neural
network. Skripsi. Universitas Sumatera Utara.
Febriani, A. 2014. Identifikasi diabetic retinopathy melalui citra retina menggunakan
Modified K-Nearest Neighbour. Skripsi. Universitas Sumatera Utara.
Gadkari, D. 2004. Image quality analysis using GLCM. Tesis. University of Central
Florida.
Gonzales, R.C. & Woods, R.E. 2008. Digital Image Processing. Prentice Hall : New Jersey.
Gupta, N., Garg, G., Kumar, L. 2015. Finding retinoblastoma cancer using image
processing. Int. J. of
Advanced Research in Computer Science and Software
Engineering 5(10):784-786.
Harbour, J. D. 2001. Molecular basic low-penetrance retinoblastoma. (Online)
www.ArchOpthalmol.com (13 April 2017).
Hardy, R. A., 2000, Retina dan tumor intraokular dalam Vaughan, D. G., Asbury, T.,
Riodaneva, P., (eds), Oftalmology Umum 14th ed., Widya Medika, Jakarta : 217 -219,
369.
Universitas Sumatera Utara
67
Henning, R., Perea, P. R., Shaw, B., Hamerly, G. 2014. A convolutional neural network
approach for classifying leukocoria. Skripsi. Baylor University.
Honavar, S. G., Shield, C. L., Shield, J. A., Demirci,H., Naduvilath, T. J., 2001, Intraocular
surgery after treatment of retinoblastoma. (Online) http://highwire.org (13 April
2017).
Ilyas, S. 2007. Ilmu Penyakit Mata 3rd ed. Balai Penerbit FK UI : Jakarta.
Issac, A., Madan, R., Dutta, M.K. 2016. Automated detection of bright lesions from
contrast normalized fundus images. Skripsi. University of Las Pamas de Gran.
Jaafar, H.F., Nandi, A.K., Al-Nuaimy, W. 2011. Automated detection of red lesions from
digital colour fundus photographs. 33rd Annual International Conference of the
IEEE EMBS 6232-6235.
Kadir, A. & Susanto, A. 2012. Teori dan Aplikasi Pengolahan Citra. Penerbit Andi :
Yogyakarta.
Kaneko, A. dan Suzuki, S., 2006, Eye-preservation treatment of retinoblastoma with
vitreus seeding. (Online) http://highwire.org (13 April 2017).
Kaur, R. & Kaur, S. 2013. Object extraction and boundary tracing algorithms for digital
image processing : Comparative analysis : A review. Int. J. of Advanced Research
in Computer Science and Software Engineering. 3(5): 263-368.
Malik, B. A., Naqash, A., Bhat, G. M. 2016. Backpropagation artificial neural network for
determination of glucose concentration from near-infrared spectra. Int. Conference
on Advances in Computing, Communications and Informatics (ICACCI).
Moeslund, T. B. 2012. Introduction to video and image processing : building real systems
and applications. Springer: London.
Negnetvitsky, M. 2005. Artificial Intelligence : A Guide to Intelligent System.
Universitas Sumatera Utara
68
Perea, P. R., Henning, R., Shaw, B., Hamerly, G. 2014. Finding the smallest circle
containing the iris in the denoised wavelet domain. Baylor University.
Priyanga, R., Deepa, D., Poongodi, C. 2016. Detection and analysis of carcinoma by image
processing providing efficient clinical diagnosis. Int. J. of Science Technology and
Management 5(1):377-385.
Priyani, D. R. E. 2009. Aplikasi diagnosa gangguan lambung melalui citra iris mata dengan
syaraf tiruan propagasi balik. Skripsi. Universitas Pembangunan Nasional
“Veteran” Jakarta.
Purnamasari, R.W. 2013. Implementasi jaringan syaraf tiruan backpropagation sebagai
sistem deteksi penyakit tuberculosis (TBC). Skripsi. Universitas Negeri Semarang.
Rares, L. 2016. Retinoblastoma. Jurnal e-Clinic. Universitas Sam Ratulangi Manado.
Rudd, K., Muro, G. D., Ferrari, S. 2014. A constrained backpropagation approach for
adaptive solution of partial differential equations. IEEE Transaction on Neural
Network and Learning System. Vol. 25. No. 23.
Seniman, Arisandi, D., Rahmat, R. F., William, Nababan, E. B. 2016. Chinese chess
character recognition using direction feature extraction and backpropagation. Int.
Conference on Data and Software Engineering (ICoDSE).
Shield, C. L., Mashayekhi, A., Demirci, H., Meadow, A. T., Shield, J. A., 2004, Practical
Approach to Management of Retinoblastoma. (Online) www.ArchOpthalmol.com
(13 April 2017).
Wicaksono, D. G. 2008. Perangkat lunak identifikasi nilai nominal dan keaslian uang kertas
rupiah menggunakan jaringan syaraf tiruan backpropagation. Skripsi. Universitas
Indonesia.
Wijana, N. 1993. Ilmu penyakit mata. Fakultas Kedokteran Unika Atma Jaya : Jakarta.
Universitas Sumatera Utara
69
Yodha, J.W. & Kurniawan, A.W. 2014. Perbandingan penggunaan deteksi tepi dengan
metode laplace, sobel dan prewit dan canny pada pengenalan pola. Jurnal Teknologi
Informasi Techno.Com 13(3) : 132-197.
Zhou, H., Wu, J., Zhang, J. 2010. Digital Image Processing : Part I (1st edition). (Online)
http://Bookboon.com/en/digital-image-processing-part-one-ebook (12 April 2017).
Zhou, Y., Nejati, H., Do, T., Cheung, N., Cheah, L. 2016. Imaged-based vehicle analysis
using deep neural Network: A Systematic Study. Skripsi. Singapore University of
Technology and Design.
Universitas Sumatera Utara
Abramoff, M.D., Garvin, M. K., Sonka, M. 2010. Retinal imaging and image analysis.
IEEE Reviews in Biomedical Engineering 3:169-208.
Abramson, D. H., Xu, X. L., Wang, L., Qi, D. L., Poulos, B. K., Jhanwar, S. C., Cobrinik,
D. 2014. Rb suppresses human cone-precursor-derived retinoblastoma tumours.
Aerts, I., Ruic, L. L., Gauthier-Villars, M., Brisse, H., Doz, F., Desjardins,
Orphanet
Journal
of
Rare
Disease:
Retinoblastoma.
L., 2006.
(Online)
http://www.ojrd.com/content/1/1/31 (13 April 2017).
Balasundari, C. K., Ulagammal, L., Sivapriya, J. 2016. Diagnosis retinal disease using
image processing techniques. Int. J. of Innovative Research in Computer and
Communication Engineering 4(4):6493-6500.
Chairani, R. 2012. Identifikasi kesuburan pria melalui kelainan sperma melalui morfologi
(teratospermia) menggunakan invariant moment. Skripsi. Univesitas Sumatera
Utara.
Chintagumpala, M., Barrios, P. C., Paysse,E.A., Plon, S. E., Hurwitz, R. 2007.
Retinoblastoma : Review Current Management. (Online) www.AlphaMedPress.com
(13 April 2017).
Chudasama, D., Patel, T., Joshi, S. 2015. Image segmentation using morphological
operation. Int. J. of Computer Application. 177(18): 16-19.
Damayanti, A., Pratiwi, A. B., Miswanto. 2016. Epilepsy detection on EEG data using
backpropagation, firefly algorithm and simulated annealing. 2nd International
Conference on Science and Technology Computer (ICST). Yogyakarta : Indonesia.
Universitas Sumatera Utara
66
Darmawan, D. 2010. Pengenalan wajah dengan metode backpropagation menggunakan
kamera CCTV inframerah. Skripsi. Universitas Indonesia.
Dewi, A. K., Novianty, A., Purboyo, T. W. 2016. Stomach disorder detection through the
iris image using backpropagation neural network. International Conference on
Informatics and Computing (ICIC).
Edi & Siswono, 2009. Gambaran epidemiologi Leukemia anak di Rumah Sakit Kanker
Dharmais Jakarta Tahun 2004-2008. Fakultas Kesehatan Masyarakat Universitas
Indonesia: 1-5.
Fatihah, N. 2016. Identifikasi jenis kayu tropis menggunakan backpropagation neural
network. Skripsi. Universitas Sumatera Utara.
Febriani, A. 2014. Identifikasi diabetic retinopathy melalui citra retina menggunakan
Modified K-Nearest Neighbour. Skripsi. Universitas Sumatera Utara.
Gadkari, D. 2004. Image quality analysis using GLCM. Tesis. University of Central
Florida.
Gonzales, R.C. & Woods, R.E. 2008. Digital Image Processing. Prentice Hall : New Jersey.
Gupta, N., Garg, G., Kumar, L. 2015. Finding retinoblastoma cancer using image
processing. Int. J. of
Advanced Research in Computer Science and Software
Engineering 5(10):784-786.
Harbour, J. D. 2001. Molecular basic low-penetrance retinoblastoma. (Online)
www.ArchOpthalmol.com (13 April 2017).
Hardy, R. A., 2000, Retina dan tumor intraokular dalam Vaughan, D. G., Asbury, T.,
Riodaneva, P., (eds), Oftalmology Umum 14th ed., Widya Medika, Jakarta : 217 -219,
369.
Universitas Sumatera Utara
67
Henning, R., Perea, P. R., Shaw, B., Hamerly, G. 2014. A convolutional neural network
approach for classifying leukocoria. Skripsi. Baylor University.
Honavar, S. G., Shield, C. L., Shield, J. A., Demirci,H., Naduvilath, T. J., 2001, Intraocular
surgery after treatment of retinoblastoma. (Online) http://highwire.org (13 April
2017).
Ilyas, S. 2007. Ilmu Penyakit Mata 3rd ed. Balai Penerbit FK UI : Jakarta.
Issac, A., Madan, R., Dutta, M.K. 2016. Automated detection of bright lesions from
contrast normalized fundus images. Skripsi. University of Las Pamas de Gran.
Jaafar, H.F., Nandi, A.K., Al-Nuaimy, W. 2011. Automated detection of red lesions from
digital colour fundus photographs. 33rd Annual International Conference of the
IEEE EMBS 6232-6235.
Kadir, A. & Susanto, A. 2012. Teori dan Aplikasi Pengolahan Citra. Penerbit Andi :
Yogyakarta.
Kaneko, A. dan Suzuki, S., 2006, Eye-preservation treatment of retinoblastoma with
vitreus seeding. (Online) http://highwire.org (13 April 2017).
Kaur, R. & Kaur, S. 2013. Object extraction and boundary tracing algorithms for digital
image processing : Comparative analysis : A review. Int. J. of Advanced Research
in Computer Science and Software Engineering. 3(5): 263-368.
Malik, B. A., Naqash, A., Bhat, G. M. 2016. Backpropagation artificial neural network for
determination of glucose concentration from near-infrared spectra. Int. Conference
on Advances in Computing, Communications and Informatics (ICACCI).
Moeslund, T. B. 2012. Introduction to video and image processing : building real systems
and applications. Springer: London.
Negnetvitsky, M. 2005. Artificial Intelligence : A Guide to Intelligent System.
Universitas Sumatera Utara
68
Perea, P. R., Henning, R., Shaw, B., Hamerly, G. 2014. Finding the smallest circle
containing the iris in the denoised wavelet domain. Baylor University.
Priyanga, R., Deepa, D., Poongodi, C. 2016. Detection and analysis of carcinoma by image
processing providing efficient clinical diagnosis. Int. J. of Science Technology and
Management 5(1):377-385.
Priyani, D. R. E. 2009. Aplikasi diagnosa gangguan lambung melalui citra iris mata dengan
syaraf tiruan propagasi balik. Skripsi. Universitas Pembangunan Nasional
“Veteran” Jakarta.
Purnamasari, R.W. 2013. Implementasi jaringan syaraf tiruan backpropagation sebagai
sistem deteksi penyakit tuberculosis (TBC). Skripsi. Universitas Negeri Semarang.
Rares, L. 2016. Retinoblastoma. Jurnal e-Clinic. Universitas Sam Ratulangi Manado.
Rudd, K., Muro, G. D., Ferrari, S. 2014. A constrained backpropagation approach for
adaptive solution of partial differential equations. IEEE Transaction on Neural
Network and Learning System. Vol. 25. No. 23.
Seniman, Arisandi, D., Rahmat, R. F., William, Nababan, E. B. 2016. Chinese chess
character recognition using direction feature extraction and backpropagation. Int.
Conference on Data and Software Engineering (ICoDSE).
Shield, C. L., Mashayekhi, A., Demirci, H., Meadow, A. T., Shield, J. A., 2004, Practical
Approach to Management of Retinoblastoma. (Online) www.ArchOpthalmol.com
(13 April 2017).
Wicaksono, D. G. 2008. Perangkat lunak identifikasi nilai nominal dan keaslian uang kertas
rupiah menggunakan jaringan syaraf tiruan backpropagation. Skripsi. Universitas
Indonesia.
Wijana, N. 1993. Ilmu penyakit mata. Fakultas Kedokteran Unika Atma Jaya : Jakarta.
Universitas Sumatera Utara
69
Yodha, J.W. & Kurniawan, A.W. 2014. Perbandingan penggunaan deteksi tepi dengan
metode laplace, sobel dan prewit dan canny pada pengenalan pola. Jurnal Teknologi
Informasi Techno.Com 13(3) : 132-197.
Zhou, H., Wu, J., Zhang, J. 2010. Digital Image Processing : Part I (1st edition). (Online)
http://Bookboon.com/en/digital-image-processing-part-one-ebook (12 April 2017).
Zhou, Y., Nejati, H., Do, T., Cheung, N., Cheah, L. 2016. Imaged-based vehicle analysis
using deep neural Network: A Systematic Study. Skripsi. Singapore University of
Technology and Design.
Universitas Sumatera Utara