ArticleBiomedical optics express2021
Membranous nephropathy classification using microscopic hyperspectral imaging and tensor patch-based discriminative linear regression.
Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- HMI-LUSC: A Histological Hyperspectral Imaging Dataset for Lung Squamous Cell Carcinoma.Scientific data · 2026Article
- Matrix-R Theory: A Simple Generic Method to Improve RGB-Guided Spectral Recovery Algorithms.Sensors (Basel, Switzerland) · 2025Article
- Article
- Histological Hyperspectral Glioblastoma Dataset (HistologyHSI-GB).Scientific data · 2024Article
- Intelligent tumor tissue classification for Hybrid Health Care Units.Frontiers in medicine · 2024Article
- SpeCamX: mobile app that turns unmodified smartphones into multispectral imagers.Biomedical optics express · 2023Article
- A Rehabilitation of Pixel-Based Spectral Reconstruction from RGB Images.Sensors (Basel, Switzerland) · 2023Article
- Nondestructive detection ofFrontiers in plant science · 2023Article
- Spectral Reflectance Recovery from the Quadcolor Camera Signals Using the Interpolation and Weighted Principal Component Analysis Methods.Sensors (Basel, Switzerland) · 2022Article
- On the Optimization of Regression-Based Spectral Reconstruction.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optical kidney biopsy, serological examination, and clinical symptoms are the main methods for membranous nephropathy (MN) diagnosis. However, false positives and undetectable biochemical components in the results of optical inspections lead to unsatisfactory diagnostic sensitivity and pose obstacles to pathogenic mechanism analysis. In order to reveal detailed component information of immune complexes of MN, microscopic hyperspectral imaging technology is employed to establish a hyperspectral database of 68 patients with two types of MN. Based on the characteristic of the medical HSI, a novel framework of tensor patch-based discriminative linear regression (TDLR) is proposed for MN classification. Experimental results show that the classification accuracy of the proposed model for MN identification is 98.77%. The combination of tensor-based classifiers and hyperspectral data analysis provides new ideas for the research of kidney pathology, which has potential clinical value for the automatic diagnosis of MN.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.