Brain pathology identification using computer aided diagnostic tool: A systematic review
作者： Anjan Gudigar , U. Raghavendra , Ajay Hegde , M. Kalyani , Edward J. Ciaccio
DOI: 10.1016/J.CMPB.2019.105205
关键词:
摘要: Computer aided diagnostic (CAD) has become a significant tool in expanding patient quality-of-life by reducing human errors diagnosis. CAD can expedite decision-making on complex clinical data automatically. Since brain diseases be fatal, rapid identification of pathology to prolong life is an important research topic. Many algorithms have been proposed for efficient (BPI) over the past decade. Constant refinement various image processing must take place expand performance automatic BPI task. In this paper, systematic survey contemporary using magnetic resonance imaging (MRI) presented. A summarization recent literature provides investigators with helpful synopsis domain. Furthermore, enhance BPI, future directions are indicated.
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sci-hub.se 参考文章(109)
T. R. Sivapriya, V. Saravanan, P. Ranjit Jeba Thangaiah, Texture Analysis of Brain MRI and Classification with BPN for the Diagnosis of Dementia computational science and engineering. pp. 553- 563 ,(2011) , 10.1007/978-3-642-24043-0_56
Yudong Zhang, Shuihua Wang, Preetha Phillips, Zhengchao Dong, Genlin Ji, Jiquan Yang, Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC Biomedical Signal Processing and Control. ,vol. 21, pp. 58- 73 ,(2015) , 10.1016/J.BSPC.2015.05.014
Xingxing Zhou, Shuihua Wang, Wei Xu, Genlin Ji, Preetha Phillips, Ping Sun, Yudong Zhang, Detection of Pathological Brain in MRI Scanning Based on Wavelet-Entropy and Naive Bayes Classifier international conference on bioinformatics and biomedical engineering. pp. 201- 209 ,(2015) , 10.1007/978-3-319-16483-0_20
Abdel-Badeeh M. Salem, Heba Mohsen, El-Sayed Ahmed El-Dahshan, A machine learning technique for MRI brain images international conference on informatics and systems. ,(2012)
Yudong Zhang, Zhengchao Dong, Preetha Phillips, Shuihua Wang, Genlin Ji, Jiquan Yang, Ti-Fei Yuan, Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning. Frontiers in Computational Neuroscience. ,vol. 9, pp. 66- 66 ,(2015) , 10.3389/FNCOM.2015.00066
Howard B. Demuth, Martin T. Hagan, Mark Beale, Neural network design ,(1995)
Yudong Zhang, Shuihua Wang, Ping Sun, Preetha Phillips, Pathological brain detection based on wavelet entropy and Hu moment invariants. Bio-medical Materials and Engineering. ,vol. 26, ,(2015) , 10.3233/BME-151426
Hiroshi Fujita, Yoshikazu Uchiyama, Toshiaki Nakagawa, Daisuke Fukuoka, Yuji Hatanaka, Takeshi Hara, Gobert N. Lee, Yoshinori Hayashi, Yuji Ikedo, Xin Gao, Xiangrong Zhou, Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs Computer Methods and Programs in Biomedicine. ,vol. 92, pp. 238- 248 ,(2008) , 10.1016/J.CMPB.2008.04.003
El-Sayed A. El-Dahshan, Heba M. Mohsen, Kenneth Revett, Abdel-Badeeh M. Salem, Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm Expert Systems With Applications. ,vol. 41, pp. 5526- 5545 ,(2014) , 10.1016/J.ESWA.2014.01.021
M. Saritha, K. Paul Joseph, Abraham T. Mathew, Classification of MRI brain images using combined wavelet entropy based spider web plots and probabilistic neural network Pattern Recognition Letters. ,vol. 34, pp. 2151- 2156 ,(2013) , 10.1016/J.PATREC.2013.08.017