Zhi-Ying Ma

ORCID: 0000-0002-1252-1335
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About
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Research Areas
  • Remote Sensing and Land Use
  • Medical Imaging Techniques and Applications
  • Advanced Image Fusion Techniques
  • Financial Distress and Bankruptcy Prediction
  • Remote-Sensing Image Classification
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced X-ray and CT Imaging

Air Force Medical University
2025

Ministry of Natural Resources
2022

By discussing the difference, stability and classification ability of tumor contour extracted by artificial intelligence doctors, can a more stable method extraction be obtained? We propose novel framework for automatic segmentation lung contours differential diagnosis downstream tasks. This integrates four key modules: segmentation, radiomic features, feature selection, development diagnostic models clinical applications. Using this framework, we conducted study involving cohort 1,429...

10.1186/s12880-025-01596-2 article EN cc-by-nc-nd BMC Medical Imaging 2025-02-26

Abstract. For the existing hyperspectral image (HSI) band selection (BS) algorithm does not consider strong correlation between adjacent bands and meet high-precision extraction of single target, a HSI BS based on Markov clustering target land-type spectral difference measurement is proposed in this paper. Specifically, when using for clustering, inter information embedded noise or bad channel breakpoint set to adaptively divide optimal subset. Then, each cluster, under supervision category,...

10.5194/isprs-archives-xliii-b3-2022-449-2022 article EN cc-by ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences 2022-05-30
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