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Disease Detection and Classification Using Deep Learning-Enhanced Hyperspectral Imaging (HSI)
The Hyperspectral Imaging (HSI) has emerged as an effective disease detection and classifier that has a high-resolution spectral and spatial data, which accurately detects small biological changes. Combining with deep learning, HSI systems are automatically able to extract complex spectralxpsatial features of an image, enhancing diagnostic performance ...Ayesha Farooqi, Nikhil Kumar Goyal
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HSI-SSTRANS: Hyperspectral Image Classification with Spectral and Space Transformer
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Daohong Niu +3 more
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2019
Extracting biochemical information from cell and tissue autofluorescence without using any external biomarkers is a promising approach for disease diagnosis and treatment. This thesis reports the advancement of fluorescence microscopy and image acquisition tools to observe autofluorescence signals, and I intended to use these signals as a biomarker for
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Extracting biochemical information from cell and tissue autofluorescence without using any external biomarkers is a promising approach for disease diagnosis and treatment. This thesis reports the advancement of fluorescence microscopy and image acquisition tools to observe autofluorescence signals, and I intended to use these signals as a biomarker for
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Spatial-Spectral Transformer for Hyperspectral Image Classification
Remote Sensing, 2021, , Yushi Chen
exaly
Deep Residual Involution Network for Hyperspectral Image Classification
Remote Sensing, 2021Feng Zhao, Zhe Meng, Miaomiao Liang
exaly
A Supervised Segmentation Network for Hyperspectral Image Classification
IEEE Transactions on Image Processing, 2021Hao Sun, Xiaoqiang Lu, Xiangtao Zheng
exaly
DIR-HSI: Degradation-Invariant Representation Learning for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote SensingBoxiang Yang +7 more
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SS-MLP: A Novel Spectral-Spatial MLP Architecture for Hyperspectral Image Classification
Remote Sensing, 2021Feng Zhao, Zhe Meng, Miaomiao Liang
exaly