Computer Aided Deep Learning Based Assessment of Stroke From Brain Radiological CT Images

Author:

URAL Ali Berkan

Publisher

European Journal of Science and Technology

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference40 articles.

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2. [2] Bryan, R.N., Levy, L.M., Whitlow, W.D., Killian, J.M., Preziosi, T.J., Rosairo, J.A., “Diagnosis of acute cerebral infarction: comparison of CT and MR imaging”, American Journal of Neuroradiology, 12(4):611-620, (1991).

3. [3] Tyan, Y.S., Wu, M.C., Chin, C.L., Kuo, Y.L., Lee, M.S., Chang, H.Y., “Ischemic stroke detection system with a computer-aided diagnostic ability using an unsupervised feature perception enhancement method”, Journal of Biomedical Imaging, 19:9, (2015).

4. [4] Pexman, J.H.W., Barber, P.A., Hill, M.D., Sevick, R.J., Demchuk, A.M., Hudon, M.E., Hu, W.Y., Buchan, A.M., “Use of The Alberta Stroke Program Early CT Score (ASPECTS) For Assessing CT Scans In Patients With Acute Stroke”, American Journal Of Neuroradiology, 22(8):1534-1542, (2001).

5. [5] Yoo, A.J., Zaidat, O.O., Chaudhry, Z.A., Berkhemer, O.A., Gonzales, R.G., Goyal, M., Demchuk, A.M., Menon, B.K., Mualem, E., Ueda, D., Buell, H., Sit, S.P., Bose, A., “Impact Of Pretreatment Noncontrast CT Alberta Stroke Program Early CT Score On Clinical Outcome After Intra-Arterial Stroke Therapy”, Stroke, 45(3):746-751, (2014).

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