ISSN: 2165- 7866
+44 1300 500008
Department of Information Technology, School of Computing Science, Kaziranga University, Jorhat, Assam, India
Research
Detecting Brain Tumour in Early Stage Using Deep Learning
Author(s): Probuddha Konwar*, Julius Bhadra, Manash Jyoti Dutta and Jintu Dowari
In brain tumors treatment planning and quantitative evaluation, determining the tumors extent is a major
challenge. Noninvasive Magnetic Resonance Imaging (MRI) has developed as a front-line diagnostic technique for
brain malignancies without the use of ionizing radiation. Segmenting the extent of a brain tumor manually from
3D MRI volumes is a time-consuming process that relies greatly on operator competence. For correct tumors extent
evaluation, a reliable fully automated brain tumors segmentation approach is required in this scenario. We present
a completely automated brain tumors segmentation method based on U-Net deep convolutional networks in this
paper. The Multimodal Brain Tumor Image Segmentation (BRATS 2015) datasets were utilized to test our approach,
which included 220 high-grade brain tumors... View More»
DOI:
10.35248/2329-9096-22.12.297