2 results match your criteria: "Sri Muthukumaran Institute of Technology[Affiliation]"
Multivariate Brain Tumor Detection in 3D-MRI Images Using Optimised Segmentation and Unified Classification Model.
J Eval Clin Pract
February 2025
Department of Electronics and Communication Engineering, Sri Muthukumaran Institute of Technology, Chennai, Tamil Nadu, India.
Article Synopsis
- 3D-MRI analysis of brain tumors is crucial for diagnosis and treatment, but existing segmentation techniques struggle with errors due to poor initial contour extraction and overlapping tissue intensity.
- A new Duo-step optimised Pyramidal SegNet addresses these issues by enhancing contrast and minimizing segmentation errors while effectively extracting tumor regions from 2D MRI slices.
- The proposed method shows significant improvements in detection rates for multivariate brain tumors, achieving precision rates above 97%, recall scores of 99%, and overall accuracy exceeding 95% on the BraTS2020 and Brain Tumor Detection 2020 data sets.
Temporary redundant transmission mechanism for SCTP multihomed hosts.
ScientificWorldJournal
June 2016
Department of Information Technology, Anand Institute of Higher Technology, Anna University, Chennai, Tamil Nadu 603103, India.
In SCTP's Concurrent Multipath Transfer, if data is sent to the destined IP(s) without knowledge of the paths condition, packets may be lost or delayed. This is because of the bursty nature of IP traffic and physical damage to the network. To offset these problems, network path status is examined using our new mechanism Multipath State Aware Concurrent Multipath Transfer using redundant transmission (MSACMT-RTv2).
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