Novel Robust Automatic Brain-Tumor Detection and Segmentation Using Magnetic Resonance Imaging

• Published in: IEEE sensors journal Vol. 24; no. 7; pp. 10957 - 10964
• Main Authors: Xu, Mingyang, Guo, Limei, Wu, Hsiao-Chun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Active contour; Active contours; Biomedical engineering; Brain; Brain modeling; brain-tumor detection; Contouring; Contours; Deep learning; Engineering research; Image segmentation; Magnetic resonance imaging; magnetic resonance imaging (MRI); Medical imaging; receiver-operating characteristic curve; Robustness; Texture; Tumors; Wavelet transforms

Computer-aided automatic brain-tumor detection has been a very important biomedical engineering research problem for years. As the sizes and shapes of tumors vary dramatically from a subject to another, how to build a robust automatic brain-tumor detector is still quite challenging nowadays. There e...