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Detecting Brain Tumour in Early Stage Using Deep Learning | Abstract
Journal of Information Technology & Software Engineering

Journal of Information Technology & Software Engineering
Open Access

ISSN: 2165- 7866

Abstract

Detecting Brain Tumour in Early Stage Using Deep Learning

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.

Published Date: 2022-04-29; Received Date: 2022-03-24