Active Contour Model for Brain MR Tumor Segmentation and Volume Estimation

Abstract

Brain MR tumor segmentation and estimation of volume is a critical task in medical applications. Brain tumors are analyzed by the common test method known as magnetic resonance imaging (MRI) which provides a detail image of brain. The proposed work involves detection of tumor in brain using deep learning based active contour model. Segmentation is the main objective of the proposed work for achieving detailed information about the tumor and accurate volume estimation to detect the size of the tumor. The Euclidean similarity factor (ESF) is used for considering the spatial distances and intensity differences of the region there by preserving all the fine details of the image. 3D convolutional neural network (3DCNN) is used for extracting the features and segmentation to identify the tumor location in the brain. Finally, shoelace method is used to estimate the volume of the tumor, and it provides treatment planning, surgical methods, estimation of dose, etc. The simulation results in this suggested approach could attain effective performance as compared with the existing approaches.

The Effect of Occupational Health and Safety (Ohs) Management on Safety Behavior of Workers at Construction Service Company in Surabaya

“…Occupational accident in construction project is related to the unique characteristics of construction project: mobile, open working sites which is heavily affected by weather, limited execution time, dynamic and demanding a high physical resilience, paired with untrained workers along with substandard occupational safety management. The consequence is that the workers conduct unsafe action that may cause occupational accident (Kumar and Sridevi, 2019).…”

Comparison Measurement and Calculation of Brain Tumor in Mri Modalities Utilising Spin-Echo Pulse Sequence T1-Weighted Contrast and Digital Image Processing Applications

“…Segmentasi tumor dan kalkulasi area tumor otak adalah proses rutin dalam pengobatan klinis serta memberikan informasi yang berguna untuk diagnosis dan perencanaan pengobatan tumor otak (Kumar and Sridevi, 2019). Proses segmentasi dalam mendiagnosa tumor otak memiliki fungsi penting, dikarenakan segmentasi adalah suatu filter yang digunakan untuk memisahkan daerah tumor dan yang bukan tumor dalam suatu citra hasil MRI (Basyid and Adi, 2014;Kabade and Gaikwad, 2013;Roy and Bandyopadhyay, 2012).…”