Výsledky vyhledávání

Akademický článek

Amide proton transfer weighted and diffusion weighted imaging based radiomics classification algorithm for predicting 1p/19q co-deletion status in low grade gliomas

Autor: Andong Ma, Xinran Yan, Yaoming Qu, Haitao Wen, Xia Zou, Xinzi Liu, Mingjun Lu, Jianhua Mo, Zhibo Wen

Publikováno v: BMC Medical Imaging, Vol 24, Iss 1, Pp 1-11 (2024)

Abstract Background 1p/19q co-deletion in low-grade gliomas (LGG, World Health Organization grade II and III) is of great significance in clinical decision making. We aim to use radiomics analysis to predict 1p/19q co-deletion in LGG based on amide p

Externí odkaz: https://doaj.org/article/f0c6fd3ed6404ca589b679497ea5fd89

Zobrazit plný text záznamu

Akademický článek

Imaging features of sentinel lymph node mapped by multidetector-row computed tomography lymphography in predicting axillary lymph node metastasis

Autor: Xiaochan Ou, Jianbin Zhu, Yaoming Qu, Chengmei Wang, Baiye Wang, Xirui Xu, Yanyu Wang, Haitao Wen, Andong Ma, Xinzi Liu, Xia Zou, Zhibo Wen

Publikováno v: BMC Medical Imaging, Vol 21, Iss 1, Pp 1-9 (2021)

Abstract Introduction Accurately assessing axillary lymph node (ALN) status in breast cancer is vital for clinical decision making and prognosis. The purpose of this study was to evaluate the predictive value of sentinel lymph node (SLN) mapped by mu

Externí odkaz: https://doaj.org/article/73bf2e3e32a14d1f9c2fd151b65022c9

Zobrazit plný text záznamu

Akademický článek

Comparison of Image Endmember- and Object-Based Classification of Very-High-Spatial-Resolution Unmanned Aircraft System (UAS) Narrow-Band Images for Mapping Riparian Forests and Other Land Covers

Autor: Anthony M. Filippi, İnci Güneralp, Cesar R. Castillo, Andong Ma, Gernot Paulus, Karl-Heinrich Anders

Publikováno v: Land, Vol 11, Iss 2, p 246 (2022)

Riparian forests are critical for carbon storage, biodiversity, and river water quality. There has been an increasing use of very-high-spatial-resolution (VHR) unmanned aircraft systems (UAS)-based remote sensing for riparian forest mapping. However,

Externí odkaz: https://doaj.org/article/5c03797385f1457c9fe764d1fbefcdb2

Zobrazit plný text záznamu

Akademický článek

Hyperspectral Image Classification Using Similarity Measurements-Based Deep Recurrent Neural Networks

Autor: Andong Ma, Anthony M. Filippi, Zhangyang Wang, Zhengcong Yin

Publikováno v: Remote Sensing, Vol 11, Iss 2, p 194 (2019)

Classification is a common objective when analyzing hyperspectral images, where each pixel is assigned to a predefined label. Deep learning-based algorithms have been introduced in the remote-sensing community successfully in the past decade and have

Externí odkaz: https://doaj.org/article/4d96579c01ef41a9943ebd8b984e4f1d

Zobrazit plný text záznamu

Plný text ve formátu HTML

Urban infrastructure audit: an effective protocol to digitize signalized intersections by mining street view images

Autor: Xiao Huang, Bahar Dadashova, Huan Ning, Xiao Li, Andong Ma, Yuhao Kang

Publikováno v: Cartography and Geographic Information Science. 49:32-49

Auditing and mapping traffic infrastructure is a crucial task in urban management. For example, signalized intersections play an essential role in transportation management; however, effectively id...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ba5db9e87667574781f49f676def1e63
https://doi.org/10.1080/15230406.2021.1992299

Zobrazit plný text záznamu

Limited effects of tree planting on forest canopy cover and rural livelihoods in Northern India

Autor: Vijay Guleria, Eric A. Coleman, Harry W. Fischer, Anthony M. Filippi, Vijay Ramprasad, Pushpendra Rana, Rajesh Rana, Forrest Fleischman, Andong Ma, Claudia Rodriguez Solorzano, Bill Schultz, Burak Güneralp

Publikováno v: Nature Sustainability. 4:997-1004

Many countries have adopted large-scale tree planting programmes as a climate mitigation strategy and to support local livelihoods. We evaluate a series of large-scale tree planting programmes using data collected from historical Landsat imagery in t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::61d787a7c3dd56a0b508234f1050cd8e
https://doi.org/10.1038/s41893-021-00761-z

Zobrazit plný text záznamu

Fast Sequential Feature Extraction for Recurrent Neural Network-Based Hyperspectral Image Classification

Autor: Da Huo, Andong Ma, Burak Güneralp, Anthony M. Filippi, Xiao Li, Zhengcong Yin, Zhangyang Wang

Publikováno v: IEEE Transactions on Geoscience and Remote Sensing. 59:5920-5937

Classification is a critical, widely employed type of hyperspectral image (HSI) processing. Recently, deep learning models have been attracting more attention within the hyperspectral remote-sensing community due to their improved classification perf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::87ec5271e77fe957866f28a44af8eeca
https://doi.org/10.1109/tgrs.2020.3018449

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání