OptiScan-3D: Hybrid Forensic Framework for BraTiS and Tumor Localization in MRI

DOI

10.2991/978-94-6239-610-4_12How to use a DOI?

Keywords

MRI (Magnetic Resonance Imaging); BraTS (Brain Tumor Segmentation); OptiScan-3D (Optimized Scanning & Segmentation)

Abstract

MRI is widely used for diagnosing brain tumors, yet accurate isolation and localization of tumor regions remain challenging. Existing methods often perform segmentation or localization in isolation, neglecting the combined forensic-style traceability of tumor regions in a hybrid framework that links segmentation to localization and decision support. Thus, proposed OptiScan-3D (Optimized Scanning & Segmentation), a hybrid forensic framework which integrates a 3D variant of SegNet for volumetric tumor segmentation together with a localization module that identifies and highlights tumor centroids and boundary zones in MRI volumes, and logs forensic metadata for traceability. On the BraTS 2020 dataset (brain tumor segmentation challenge) approach achieves a mean Dice coefficient of 0.92 for whole-tumor segmentation and reduces localization error radius by 15% compared to a baseline SegNet-only method. This enables improved volumetric tumor delineation and localization with forensic-style metadata, supporting clinical decision making and audit-friendly workflows in neuro-oncology image analysis[1, 2, 3].

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mohammed Razia Alangir Banu
AU  - K. Purushottama Rao
AU  - Athur Shaik Ali Gousia Banu
AU  - Sumit Hazra
PY  - 2026
DA  - 2026/05/05
TI  - OptiScan-3D: Hybrid Forensic Framework for BraTiS and Tumor Localization in MRI
BT  - Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
PB  - Atlantis Press
SP  - 112
EP  - 121
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-610-4_12
DO  - 10.2991/978-94-6239-610-4_12
ID  - Banu2026
ER  -