Masked and Noise-Masked Multimodal Brain Tumor Image Segmentation Using SegFormer and Shared Encoder Framework

Masked and Noise-Masked Multimodal Brain Tumor Image Segmentation Using SegFormer and Shared Encoder Framework

Medical image segmentation is a critical task in clinical diagnosis and treatment, particularly for brain tumor analysis using imaging modalities such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans. However, segmentation is often hindered by noise introduced through scanner a...

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Bibliographic Details
Main Authors: K. Hemalatha, P. R. Vishnu Vardhan, Alfred Dharmaraj Aravindraj, S. Hari Hara Sudhan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Medical image segmentation
transformers
SegFormer
masking and noise-masking
multimodal images
feature extraction
Online Access:https://ieeexplore.ieee.org/document/11119701/
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https://ieeexplore.ieee.org/document/11119701/

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