| Autor: |
Toshihiro Takamatsu, Yuichi Kitagawa, Kohei Akimoto, Ren Iwanami, Yuto Endo, Kenji Takashima, Kyohei Okubo, Masakazu Umezawa, Takeshi Kuwata, Daiki Sato, Tomohiro Kadota, Tomohiro Mitsui, Hiroaki Ikematsu, Hideo Yokota, Kohei Soga, Hiroshi Takemura |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Sensors, Vol 21, Iss 8, p 2649 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1424-8220 |
| DOI: |
10.3390/s21082649 |
| Popis: |
In this study, a laparoscopic imaging device and a light source able to select wavelengths by bandpass filters were developed to perform multispectral imaging (MSI) using over 1000 nm near-infrared (OTN-NIR) on regions under a laparoscope. Subsequently, MSI (wavelengths: 1000–1400 nm) was performed using the built device on nine live mice before and after tumor implantation. The normal and tumor pixels captured within the mice were used as teaching data sets, and the tumor-implanted mice data were classified using a neural network applied following a leave-one-out cross-validation procedure. The system provided a specificity of 89.5%, a sensitivity of 53.5%, and an accuracy of 87.8% for subcutaneous tumor discrimination. Aggregated true-positive (TP) pixels were confirmed in all tumor-implanted mice, which indicated that the laparoscopic OTN-NIR MSI could potentially be applied in vivo for classifying target lesions such as cancer in deep tissues. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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