A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning

Brain tumor is one of the most death defying diseases nowadays. The tumor contains a cluster of abnormal cells grouped around the inner portion of human brain. It affects the brain by squeezing/ damaging healthy tissues. It also amplifies intra cranial pressure and as a result tumor cells growth inc...

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Veröffentlicht in:	Journal of medical systems Jg. 43; H. 11; S. 326
Hauptverfasser:	Amin, Javeria, Sharif, Muhammad, Yasmin, Mussarat, Saba, Tanzila, Anjum, Muhammad Almas, Fernandes, Steven Lawrence
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2019 Springer Nature B.V
Schlagworte:	Algorithms Brain cancer Brain damage Brain Neoplasms - diagnostic imaging Brain Neoplasms - pathology Brain tumors Health Informatics Health Informatics and Computer Vision Health Sciences Humans Image & Signal Processing Image classification Image enhancement Image processing Image Processing, Computer-Assisted - methods Image segmentation Ischemia Magnetic Resonance Imaging - methods Medical imaging Medicine Medicine & Public Health Neural Networks, Computer Recent Advances in Deep Learning for Biomedical Signal Processing Statistics for Life Sciences Tomography, X-Ray Computed - methods Transfer learning Tumor cells Tumors Segmentation Alex network Fused score vector Classification Google network Brain tumor detection Softmax layer
ISSN:	0148-5598, 1573-689X, 1573-689X
Online-Zugang:	Volltext
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