Results 51 to 60 of about 13,575,612 (179)

ManUSPECTRAL – the Mannheim Urology HyperSPECTRAL Imaging Atlas of 17 Physiological Human Organs

BJU International, EarlyView.
Objectives To establish a standardised intraoperative hyperspectral imaging (HSI) human organ reference dataset and to characterise spectral signatures across organ classes as a foundation for future computational and clinical applications. Subjects and Methods Intraoperative assessment of anatomical structures and tissue quality such as perfusion or ...
Alexander Rathenborg, Vera Klütz, Paula Grützner, Luisa Hartung, Greta Demmel, Christoph Julien Bender, Jan Sellner, Silvia Seidlitz, Caelan Max Haney‐Aubert, Wahid Fattal, Tilmann Clanget, Berkin Özdemir, Samuel Knoedler, Gabriel Alexander Salg, Luisa Renner, Nicolas Carl, Cuyler Yu, Charlene Leung, Dominic Edelmann, Nicholas Schreck, Maurice Stephan Michel, Lena Maier‐Hein, Karl‐Friedrich Kowalewski   +22 more
wiley   +1 more source

MFFCG – Multi feature fusion for hyperspectral image classification using graph attention network

, 2023
Classification methods that are based on hyperspectral images (HSIs) are playing an increasingly significant role in the processes of target detection, environmental management, and mineral mapping as a result of the fast development of hyperspectral ...
Wu, Guilu, Ullah Bazai, Sibghat, NEIRA MOLINA, HAROLD ROBERTO, Marjan, Shah, Aslam Bhatti, Uzair, Huang, Mengxing, Baryalai, Mehmood, Tang, Hao   +7 more
core   +1 more source

Dimensionality Reduction of Hyperspectral Image Using Spatial-Spectral Regularized Sparse Hypergraph Embedding

Remote Sensing, 2019
Many graph embedding methods are developed for dimensionality reduction (DR) of hyperspectral image (HSI), which only use spectral features to reflect a point-to-point intrinsic relation and ignore complex spatial-spectral structure in HSI.
Hong Huang, Meili Chen, Yule Duan
doaj   +1 more source

A Hypered Deep-Learning-Based Model of Hyperspectral Images Generation and Classification for Imbalanced Data

Remote Sensing, 2022
Recently, hyperspectral image (HSI) classification has become a hot topic in the geographical images research area. Sufficient samples are required for image classes to properly train classification models.
Hasan A. H. Naji, Tianfeng Li, Qingji Xue, Xindong Duan   +3 more
doaj   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source

Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This article proposed a novel spectral-spatial classification framework for hyperspectral image (HSI) through combining collaborative representation (CR) and maximum margin projection (MMP).
Haoyang Yu, Xiaodi Shang, Meiping Song, Jiaochan Hu, Tong Jiao, Qiandong Guo, Bing Zhang   +6 more
doaj   +1 more source

Dual selective fusion transformer network for hyperspectral image classification [PDF]

Neural Networks
Transformer has achieved satisfactory results in the field of hyperspectral image (HSI) classification. However, existing Transformer models face two key challenges when dealing with HSI scenes characterized by diverse land cover types and rich spectral ...
Yi-Chu Xu, Di Wang, Le-Fei Zhang, Liang-Pei Zhang   +3 more
semanticscholar   +1 more source

Guiding the AI revolution in periodontology and implant dentistry: Concepts, ethics, accountability, and a roadmap for sustainable adoption

Periodontology 2000, EarlyView.
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali, Negin Soghli, Patricia A. Miguez   +2 more
wiley   +1 more source

Spectral-Spatial Mamba for Hyperspectral Image Classification [PDF]

Remote Sensing
Recently, transformer has gradually attracted interest for its excellence in modeling the long-range dependencies of spatial-spectral features in HSI.
Lin Huang, Yu-Shi Chen, Xin He
semanticscholar   +1 more source

Enhanced Esophageal Cancer Detection Using Spectrum‐Aided Vision Enhancer: A Comparative Study of White Light Imaging, Narrow‐Band Imaging, and Algorithmic Narrow‐Band Imaging‐Like Imaging

DEN Open, Volume 7, Issue 1, April 2027.
ABSTRACT Background and Aims Esophageal squamous cell carcinoma (ESCC) detection is crucial for improving survival. While narrow‐band imaging (NBI) improves mucosal visualization, limitations remain. We evaluated the diagnostic performance of the Spectrum‐Aided Vision Enhancer (SAVE), an algorithmic NBI‐like technology reconstructed from white light ...
Jer‐Wei Wu, Yao‐Kuang Wang, Arvind Mukundan, Riya Karmakar, Nguyen Ngoc Quynh Nhu, Yaswanth Nagisetti, Wei‐Chih Liao, Ming‐Lun Han, I‐Chen Wu, Hsiang‐Chen Wang   +9 more
wiley   +1 more source