ArticleBiomedical optics express2022
Discriminating healthy from tumor tissue in breast lumpectomy specimens using deep learning-based hyperspectral imaging.
Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Hyperspectral imaging for tumor resection guidance in surgery: a systematic review of preclinical and clinical studies.Journal of biomedical optics · 2025Pooled it
- From Innovation to Application: Can Emerging Imaging Techniques Transform Breast Cancer Diagnosis?Diagnostics (Basel, Switzerland) · 2025Review
- Artificial neural networks as a prognostic tool using hyperspectral imaging on pretherapeutic histopathological specimens of esophageal adenocarcinoma.Journal of cancer research and clinical oncology · 2025Article
- Semantic hyperspectral image synthesis for cross-modality knowledge transfer in surgical data science.International journal of computer assisted radiology and surgery · 2025Article
- Toward real-time margin assessment in breast-conserving surgery with hyperspectral imaging.Scientific reports · 2025Article
- Systematic Meta-Analysis of Computer-Aided Detection of Breast Cancer Using Hyperspectral Imaging.Bioengineering (Basel, Switzerland) · 2024Review
- Evaluation of Focus Measures for Hyperspectral Imaging Microscopy Using Principal Component Analysis.Journal of imaging · 2024Article
- Separating Surface Reflectance from Volume Reflectance in Medical Hyperspectral Imaging.Diagnostics (Basel, Switzerland) · 2024Article
- Deformable multi-modal image registration for the correlation between optical measurements and histology images.Journal of biomedical optics · 2024Article
- Spatial and Spectral Reconstruction of Breast Lumpectomy Hyperspectral Images.Sensors (Basel, Switzerland) · 2024Article
- Point Projection Mapping System for Tracking, Registering, Labeling, and Validating Optical Tissue Measurements.Journal of imaging · 2024Article
- SpeCamX: mobile app that turns unmodified smartphones into multispectral imagers.Biomedical optics express · 2023Article
- Joint Diagnostic Method of Tumor Tissue Based on Hyperspectral Spectral-Spatial Transfer Features.Diagnostics (Basel, Switzerland) · 2023Article
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Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Achieving an adequate resection margin during breast-conserving surgery remains challenging due to the lack of intraoperative feedback. Here, we evaluated the use of hyperspectral imaging to discriminate healthy tissue from tumor tissue in lumpectomy specimens. We first used a dataset obtained on tissue slices to develop and evaluate three convolutional neural networks. Second, we fine-tuned the networks with lumpectomy data to predict the tissue percentages of the lumpectomy resection surface. A MCC of 0.92 was achieved on the tissue slices and an RMSE of 9% on the lumpectomy resection surface. This shows the potential of hyperspectral imaging to classify the resection margins of lumpectomy specimens.
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Registered trials
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