Intra-operative brain tumor detection with deep learning-optimized hyperspectral imaging-Reference-Cited by-同舟云学术

Intra-operative brain tumor detection with deep learning-optimized hyperspectral imaging

Published:2023-03-06 Issue: Volume: Page:
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Container-title:Optical Biopsy XXI: Toward Real-Time Spectroscopic Imaging and Diagnosis
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Author:

Giannantonio Tommaso,Alperovich Anna,Semeraro Piercosimo,Atzori Manfredo,Zhang Xiaohan,Hauger Christoph,Freytag Alexander,Luthman Siri,Vandebriel Roeland,Jayapala Murali,Solie Lien,de Vleeschouwer Steven

Publisher

SPIE

Reference84 articles.

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4. GLIOMA EXTENT OF RESECTION AND ITS IMPACT ON PATIENT OUTCOME

5. Counterbalancing risks and gains from extended resections in malignant glioma surgery: a supplemental analysis from the randomized 5-aminolevulinic acid glioma resection study

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1. Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection;npj Precision Oncology;2023-11-14

2. Hybrid optimal joint spatial-spectral hyperspectral image classification using modified DHO-based GIF with JRKNN;The Imaging Science Journal;2023-03-13

3. Integrating hyperspectral imaging in an existing intra-operative environment for detection of intrinsic brain tumors;Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI;2023-03-06