ArticleBiomedical optics express2019
Application of multiphoton imaging and machine learning to lymphedema tissue analysis.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Artificial Intelligence In The Diagnosis And Prediction Of Breast Cancer-Related Lymphedema: A Scoping Review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Challenges and Prospects of Using Novel Nonlinear Effects in Multimode Optical Fibers for Multiphoton Endomicroscopy.Diagnostics (Basel, Switzerland) · 2026Review
- Article
- On the importance of simultaneous label-free multimodal nonlinear optical imaging for biomedical applications.APL photonics · 2025Article
- Towards next-generation diagnostic pathology: AI-empowered label-free multiphoton microscopy.Light, science & applications · 2024Review
- Accelerating whole-sample polarization-resolved second harmonic generation imaging in mammary gland tissue via generative adversarial networks.Biomedical optics express · 2024Article
- An Evaluation of Lymphedema Using Optical Coherence Tomography: A Rat Limb Model Approach.Diagnostics (Basel, Switzerland) · 2023Article
- Nonlinear microscopy and deep learning classification for mammary gland microenvironment studies.Biomedical optics express · 2023Article
- Diagnosis and Treatment of Post-Prostatectomy Lymphedema: What's New?Current oncology (Toronto, Ont.) · 2023Review
- Second harmonic generation microscopy: a powerful tool for bio-imaging.Biophysical reviews · 2023Review
- Artificial intelligence and lymphedema: State of the art.Journal of clinical and translational research · 2022Review
- Special Series Guest Editorial: Artificial Intelligence and Machine Learning in Biomedical Optics.Journal of biomedical optics · 2021Article
- Pericapillary Edema Assessment by Means of the Nailfold Capillaroscopy and Laser Scanning Microscopy.Diagnostics (Basel, Switzerland) · 2020Article
- Automated interpretation of time-lapse quantitative phase image by machine learning to study cellular dynamics during epithelial-mesenchymal transition.Journal of biomedical optics · 2020Article
- The Unresolved Pathophysiology of Lymphedema.Frontiers in physiology · 2020Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The results of in-vivo two-photon imaging of lymphedema tissue are presented. The study involved 36 image samples from II stage lymphedema patients and 42 image samples from healthy volunteers. The papillary layer of the skin with a penetration depth of about 100 μm was examined. Both the collagen network disorganization and increase of the collagen/elastin ratio in lymphedema tissue, characterizing the severity of fibrosis, was observed. Various methods of image characterization, including edge detectors, a histogram of oriented gradients method, and a predictive model for diagnosis using machine learning, were used. The classification by "ensemble learning" provided 96% accuracy in validating the data from the testing set.
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Registered trials
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