Information Journal Paper
APA:
Copy. (2017). A non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu’ s thresholding with prominent features and supervised learning. Signal Processing: Image Communication, 59(-), 18-26. SID. https://sid.ir/paper/681295/en
Vancouver:
Copy. A non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu’ s thresholding with prominent features and supervised learning. Signal Processing: Image Communication[Internet]. 2017;59(-):18-26. Available from: https://sid.ir/paper/681295/en
IEEE:
Copy, “A non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu’ s thresholding with prominent features and supervised learning,” Signal Processing: Image Communication, vol. 59, no. -, pp. 18–26, 2017, [Online]. Available: https://sid.ir/paper/681295/en