ArticleScientific reports2014
Experimenting liver fibrosis diagnostic by two photon excitation microscopy and Bag-of-Features image classification.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed.
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- Label-free multiphoton microscopy and machine learning for recognition of hepatocellular carcinoma.Scientific reports · 2026Article
- SNR enhanced high-speed two-photon microscopy using a pulse picker and time gating detection.Scientific reports · 2023Article
- Label-free multiphoton microscopy enables histopathological assessment of colorectal liver metastases and supports automated classification of neoplastic tissue.Scientific reports · 2023Article
- Sparsity-based nonlinear reconstruction of optical parameters in two-photon photoacoustic computed tomography.Inverse problems · 2021Article
- Multiphoton microscopy of the dermoepidermal junction and automated identification of dysplastic tissues with deep learning.Biomedical optics express · 2020Article
- Whole-Section Tumor Micro-Architecture Analysis by a Two-Dimensional Phasor-Based Approach Applied to Polarization-Dependent Second Harmonic Imaging.Frontiers in oncology · 2019Article
- Comparative study of multiclass classification methods on light microscopic images for hepatic schistosomiasis fibrosis diagnosis.Health information science and systems · 2018Article
- Deep learning enables automated scoring of liver fibrosis stages.Scientific reports · 2018Article
- Quantitative second harmonic generation microscopy for the structural characterization of capsular collagen in thyroid neoplasms.Biomedical optics express · 2018Article
- Quantitative Morphometry for Osteochondral Tissues Using Second Harmonic Generation Microscopy and Image Texture Information.Scientific reports · 2018Article
- Tissue Intrinsic Fluorescence Spectra-Based Digital Pathology of Liver Fibrosis by Marker-Controlled Segmentation.Frontiers in medicine · 2018Article
- A Study on Image Quality in Polarization-Resolved Second Harmonic Generation Microscopy.Scientific reports · 2017Article
- Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning.Frontiers in aging neuroscience · 2017Article
- Mining textural knowledge in biological images: Applications, methods and trends.Computational and structural biotechnology journal · 2017Review
- Quantitative imaging of fibrotic and morphological changes in liver of non-alcoholic steatohepatitis (NASH) model mice by second harmonic generation (SHG) and auto-fluorescence (AF) imaging using two-photon excitation microscopy (TPEM).Biochemistry and biophysics reports · 2016Article
- Label-free fluorescence lifetime and second harmonic generation imaging microscopy improves quantification of experimental renal fibrosis.Kidney international · 2016Article
- Quantification of liver fibrosis via second harmonic imaging of the Glisson's capsule from liver surface.Journal of biophotonics · 2016Article
- Discriminative Learning for Alzheimer's Disease Diagnosis via Canonical Correlation Analysis and Multimodal Fusion.Frontiers in aging neuroscience · 2016Article
- Discriminative Learning for Automatic Staging of Placental Maturity via Multi-layer Fisher Vector.Scientific reports · 2015Article
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9 authors.
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Abstract
The accurate staging of liver fibrosis is of paramount importance to determine the state of disease progression, therapy responses, and to optimize disease treatment strategies. Non-linear optical microscopy techniques such as two-photon excitation fluorescence (TPEF) and second harmonic generation (SHG) can image the endogenous signals of tissue structures and can be used for fibrosis assessment on non-stained tissue samples. While image analysis of collagen in SHG images was consistently addressed until now, cellular and tissue information included in TPEF images, such as inflammatory and hepatic cell damage, equally important as collagen deposition imaged by SHG, remain poorly exploited to date. We address this situation by experimenting liver fibrosis quantification and scoring using a combined approach based on TPEF liver surface imaging on a Thioacetamide-induced rat model and a gradient based Bag-of-Features (BoF) image classification strategy. We report the assessed performance results and discuss the influence of specific BoF parameters to the performance of the fibrosis scoring framework.
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