A deep learning-based segmentation method for brain tumor in MR images

2016 IEEE 6th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2016

Volumn , Issue , 2016, Pages

  Xiao, Zhe ^a   Huang, Ruohan ^a   Ding, Yi ^a   Lan, Tian ^a   Dong, Rongfeng ^a   Qin, Zhiguang ^a   Zhang, Xinjie ^b   Wang, Wei ^b  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SICHUAN UNIVERSITY   (China)

Author keywords

Brain tumor detection; Brain tumor segmentation; Computer Aided Diagnosis (CAD); Deep Learning; Stacked Auto Encoder (SAE); Stacked Denoising Auto Encoder (SDAE)

Indexed keywords

BINARY IMAGES; BRAIN; COMPUTER AIDED DIAGNOSIS; COMPUTER AIDED INSTRUCTION; DIAGNOSIS; IMAGE PROCESSING; IMAGE SEGMENTATION; LEARNING SYSTEMS; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; TUMORS;

AUTO ENCODERS; BRAIN TUMOR SEGMENTATION; BRAIN TUMORS; CLASSIFICATION RESULTS; COMPUTER AIDED DIAGNOSIS(CAD); LEARNING-BASED SEGMENTATION; MORPHOLOGICAL FILTERS; SEGMENTATION ACCURACY;

DEEP LEARNING;

EID: 85011067231     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCABS.2016.7802771     Document Type: Conference Paper

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