Towards Clinical Hyperspectral Imaging (HSI) Standards: Initial Design for a Microneurosurgical HSI Database-Reference-Cited by-同舟云学术

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Towards Clinical Hyperspectral Imaging (HSI) Standards: Initial Design for a Microneurosurgical HSI Database

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)
language:
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Author:

Puustinen Sami¹,Hyttinen Joni¹,Hisuin Gemal¹,Vrzakova Hana¹,Huotarinen Antti¹,Falt Pauli¹,Hauta-Kasari Markku¹,Immonen Arto²,Koivisto Timo²,Jaaskelainen Juha E²,Elomaa Antti-Pekka²

Affiliation:

1. University of Eastern Finland

2. Kuopio University Hospital

Funder

Academy of Finland Flagship Programme, Photonics Research and Innovation (PREIN)

Finnish Cultural Foundation

European Regional Development FundEuropean Regional Development Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866947/9866899/09866964.pdf?arnumber=9866964

Reference30 articles.

1. Standardization of neurophysiology signal data into the DICOM® standard

2. Spectrally Tunable Neural Network-Assisted Segmentation of Microneurosurgical Anatomy

3. Review of spectral imaging technology in biomedical engineering: achievements and challenges

4. Intraoperative Guidance Using Hyperspectral Imaging: A Review for Surgeons

5. Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification

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1. Spectral Analysis Comparison of Pushbroom and Snapshot Hyperspectral Cameras forIn-VivoBrain Tissues and Chromophores Identification;2024-06-07

2. A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera;Sensors;2023-12-07

3. Hyperspectral placenta dataset: Hyperspectral image acquisition, annotations, and processing of biological tissues in microsurgical training;Data in Brief;2023-10

4. Unsupervised segmentation of human placenta tissues using hyperspectral image analysis;IEEE EUROCON 2023 - 20th International Conference on Smart Technologies;2023-07-06

5. Hyperspectral Imaging in Brain Tumor Surgery—Evidence of Machine Learning-Based Performance;World Neurosurgery;2023-07

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