Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Development of NIR-HSI Laparoscope for Distinguishing Deep Biological Tissues without Labeling

Not Accessible

Your library or personal account may give you access

Abstract

Near-infrared hyperspectral imaging is a technology to acquire spectral information of deep lesion by each pixel. In this study, the NIR-HIS laparoscopic device was developed and the high accuracy distinction without labeling was demonstrated.

© 2022 The Author(s)

PDF Article  |   Presentation Video
More Like This
Machine learning algorithms to classify Fitzpatrick skin types during tissue oxygenation mapping

Kacie Kaile, Masrur Sobhan, Ananda Mondal, and Anuradha Godavarty
JM3A.4 Clinical and Translational Biophotonics (Translational) 2022

Deep tissue high-resolution optical imaging in the third near infrared window

Masahito Yamanaka, Daichi Sonoyama, Hiroshi Yukawa, Masato Tokunaga, Yoshinobu Baba, and Norihiko Nishizawa
OFA3A_01 International Conference on Optics-Photonics Design and Fabrication (ODF) 2022

Informed Spectral Learning for Hemodynamic Imaging

Yuhyun Ji, Sang Mok Park, Heejae Jeon, and Young Kim
OS4D.4 Optical Tomography and Spectroscopy (OT&S) 2022

Poster Presentation

Media 1: PDF (967 KB)     

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
Machine learning algorithms to classify Fitzpatrick skin types during tissue oxygenation mapping

Kacie Kaile, Masrur Sobhan, Ananda Mondal, and Anuradha Godavarty
JM3A.4 Clinical and Translational Biophotonics (Translational) 2022

Deep tissue high-resolution optical imaging in the third near infrared window

Masahito Yamanaka, Daichi Sonoyama, Hiroshi Yukawa, Masato Tokunaga, Yoshinobu Baba, and Norihiko Nishizawa
OFA3A_01 International Conference on Optics-Photonics Design and Fabrication (ODF) 2022

Informed Spectral Learning for Hemodynamic Imaging

Yuhyun Ji, Sang Mok Park, Heejae Jeon, and Young Kim
OS4D.4 Optical Tomography and Spectroscopy (OT&S) 2022

Label-Free Pathology Imaging with Multimodal Hyperspectral Microscopy for Breast Cancer Diagnosis

Jian Jun Chua, Joseph Cheng Yong Xin, Shuyan Zhang, and Malini Olivo
JM3A.49 Clinical and Translational Biophotonics (Translational) 2022

Deep Learning-based Virtual Immunohistochemical HER2 staining of Label-Free Breast Tissue

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan B. Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, and Aydogan Ozcan
SM5O.2 CLEO: Science and Innovations (CLEO:S&I) 2022

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.