Vision Transformer for Brain Tumor Detection Using Hyperspectral Images With Reduced Spectral Bands
Brain tumors, particularly gliomas, pose a significant clinical challenge with rising incidence rates and high mortality. Artificial intelligence combined with Hyperspectral Imaging (HSI) offers promising tools to improve surgical precision and patients’ outcomes. HSI offers unique advant...
Saved in:
Main Authors: | Domenico Ragusa, Marco Gazzoni, Emanuele Torti, Elisa Marenzi, Francesco Leporati |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/11077150/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep Spectral-Spatial Transformer for Robust Hyperspectral Image Segmentation in Varying Field Conditions
by: Andrey Makarov, et al.
Published: (2025-01-01) -
SpectralEarth: Training Hyperspectral Foundation Models at Scale
by: Nassim Ait Ali Braham, et al.
Published: (2025-01-01) -
SSMSFuse: A Spectral and Spatial Multiscale Coupling Fusion Model for Hyperspectral and Multispectral Image
by: Siyuan Liu, et al.
Published: (2025-01-01) -
Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects
by: Lingxi Liu, et al.
Published: (2025-01-01) -
Hyperspectral and Multispectral Remote Sensing Image Fusion Based on a Retractable Spatial–Spectral Transformer Network
by: Yilin He, et al.
Published: (2025-06-01)