Asian Journal of Information Technology

Year: 2018
Volume: 17
Issue: 7-12
Page No. 321 - 327

A Simple Tool for Identifying the Severity of Alzheimer's Based on Hippocampal and Ventricular Size Using a Roc Curve on a Coronal Slice Image

Authors : Retno Supriyanti, Ays Rahmadian Subhi, Yogi Ramadhani and Haris B. Widodo

References

Belloy, M.E., D. Shah, A. Abbas, A. Kashyap and S. Roßner et al., 2018. Quasi-periodic patterns of neural activity improve classification of Alzheimer’s disease in Mice. Sci. Rep., 8: 1-15.
CrossRef  |  PubMed  |  Direct Link  |  

Buckner, R.L., D. Head, J. Parker, A.F. Fotenos and D. Marcus et al., 2004. A unified approach for morphometric and functional data analysis in young, old and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume. Neuroimage, 23: 724-738.
CrossRef  |  PubMed  |  Direct Link  |  

Cho, Y., J.K. Seong, Y. Jeong and S.Y. Shin, 2012. Individual subject classification for Alzheimer’s disease based on incremental learning using a spatial frequency representation of cortical thickness data. Neuroimage, 59: 2217-2230.
Direct Link  |  

Dyrba, M., M. Ewers, M. Wegrzyn, I. Kilimann and C. Plant et al., 2013. Robust automated detection of microstructural white matter degeneration in Alzheimer’s disease using machine learning classification of multicenter DTI data. PloS One, 8: 1-14.
CrossRef  |  PubMed  |  Direct Link  |  

Fawcett, T., 2006. An introduction to ROC analysis. Pattern Recognit. Lett., 27: 861-874.
CrossRef  |  Direct Link  |  

Fiscon, G., E. Weitschek, A. Cialini, G. Felici and P. Bertolazzi et al., 2018. Combining EEG signal processing with supervised methods for Alzheimer’s patients classification. BMC. Med. Inf. Decis. Making, 18: 1-10.
PubMed  |  Direct Link  |  

Fotenos, A.F., A.Z. Snyder, L.E. Girton, J.C. Morris and R.L. Buckner, 2005. Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD. Neurol., 64: 1032-1039.
CrossRef  |  PubMed  |  Direct Link  |  

Fu, L., L. Liu, J. Zhang, B. Xu and Y. Fan et al., 2014. Comparison of dual-biomarker PIB-PET and dual-tracer PET in AD diagnosis. Eur. Radiol., 24: 2800-2809.
CrossRef  |  PubMed  |  Direct Link  |  

Gerardin, E., G. Chételat, M. Chupin, R. Cuingnet and B. Desgranges et al., 2009. Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging. Neuroimage, 47: 1476-1486.
Direct Link  |  

Gray, K.R., R. Wolz, R.A. Heckemann, P. Aljabar and A. Hammers et al., 2012. Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer’s disease. NeuroImage, 60: 221-229.
CrossRef  |  PubMed  |  Direct Link  |  

Huang, M., W. Yang, Q. Feng and W. Chen, 2017. Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease. Sci. Rep., 7: 1-13.
CrossRef  |  PubMed  |  Direct Link  |  

Morris, J.C., 1993. The Clinical Dementia Rating (CDR): Current version and scoring rules. Neurol., 43: 2412-2414.
CrossRef  |  PubMed  |  Direct Link  |  

Rubin, E.H., M. Storandt, J.P. Miller, D.A. Kinscherf and E.A. Grant et al., 1998. A prospective study of cognitive function and onset of dementia in cognitively healthy elders. Arch. Neurol., 55: 395-401.
CrossRef  |  Direct Link  |  

Singanamalli, A., H. Wang and A. Madabhushi, 2017. Cascaded Multi-view Canonical Correlation (CaMCCo) for early diagnosis of alzheimer’s disease via fusion of clinical, imaging and Omic features. Sci. Rep., 7: 1-15.
CrossRef  |  Direct Link  |  

Supriyanti, R., A. Chrisanty, Y. Ramadhani and W. Siswandari, 2018. Computer aided diagnosis for screening the shape and size of leukocyte cell nucleus based on morphological image. Intl. J. Electr. Comput. Eng., 8: 150-158.
CrossRef  |  Direct Link  |  

Supriyanti, R., A. Fariz, T. Septiana, E. Murdyantoro and Y. Ramadhani et al., 2015. Simple screening for high-risk pregnancies in rural areas based on an expert system. Telecommun. Comput. Electr. Control, 13: 661-669.
Direct Link  |  

Supriyanti, R., A.A. Hafidh, Y. Ramadhani and H.B. Widodo, 2018. Measuring gestational age and uterine diameter based on image segmentation. ARPN. J. Eng. Appl. Sci., 13: 670-676.
Direct Link  |  

Supriyanti, R., A.R. Subhi, Y. Ramadhani and H.B. Widodo, 2018. Calculating ventricle’s area based on Clinical Dementia Rating (CDR) values on coronal MRI image. Proceedings of the 20th International Conference on Computer-Based Patient Records and Error Prevention (ICCPREP), August 20-21, 2018, World Academy of Science, Engineering and Technology, London, UK., pp: 164-164.

Supriyanti, R., A.S. Setiadi, Y. Ramadhani and H.B. Widodo, 2016. Point processing method for improving dental radiology image quality. Intl. J. Electr. Comput. Eng., 6: 1587-1594.
Direct Link  |  

Supriyanti, R., G.P. Satrio, Y. Ramadhani and W. Siswandari, 2017. Contour detection of leukocyte cell nucleus using morphological image. J. Phys. Conf. Ser., 824: 1-9.
CrossRef  |  Direct Link  |  

Supriyanti, R., S.A. Priyono, E. Murdyan and H.B. Widodo, 2017. Histogram equalization for improving quality of low-resolution ultrasonography images. Telkomnika, 15: 1397-1408.
CrossRef  |  Direct Link  |  

Tohka, J., E. Moradi and H. Huttunen, 2016. Comparison of feature selection techniques in machine learning for anatomical brain MRI in dementia. Neuroinf., 14: 279-296.
CrossRef  |  PubMed  |  Direct Link  |  

Wee, C.Y., P.T. Yap, K. Denny, J.N. Browndyke and G.G. Potter et al., 2012. Resting-state multi-spectrum functional connectivity networks for identification of MCI patients. PloS One, 7: 1-11.
CrossRef  |  PubMed  |  Direct Link  |  

Wolz, R., V. Julkunen, J. Koikkalainen, E. Niskanen and D.P. Zhang et al., 2011. Multi-method analysis of MRI images in early diagnostics of Alzheimer’s disease. PloS One, 6: e25446-e25446.
Direct Link  |  

Ye, T., C. Zu, B. Jie, D. Shen and D. Zhang, 2016. Discriminative multi-task feature selection for multi-modality classification of Alzheimer’s disease. Brain Imaging Behave., 10: 739-749.
CrossRef  |  PubMed  |  Direct Link  |  

Yun, H.J., K. Kwak and J.M. Lee, 2015. Multimodal discrimination of Alzheimer’s disease based on regional cortical atrophy and hypometabolism. PloS One, 10: 1-19.
CrossRef  |  PubMed  |  Direct Link  |  

Zhang, Y., M. Brady and S. Smith, 2001. Segmentation of brain MR Images through a hidden markov random field model and the Expectation- Maximization algorithm. IEEE Trans. Medi. Imag., 20: 45-57.
Direct Link  |  

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