Session Index

Biophotonics and Biomedical Imaging

Poster Session II
Saturday, Dec. 5, 2020  10:30-12:30
Presider: Prof. Wen-Jeng Ho
Room: 6AB Courtyard
Notes:
Manuscript ID.  0145
Paper No.  2020-SAT-P0602-P001
Rui Cheng Zeng
A novel deep learning approach for on-site diagnosis of lung cancer by smart optical coherence tomography
Rui Cheng Zeng;Hung Chang Liu;Miao Hui Lin;Chia Wei Sun

The purpose of this research was aimed to evaluate the performance of a novel convolutional neural network (CNN) by automatically differentiation between benign and malignant entities of lung tissues during surgery with artificial intelligence-based optical coherence tomography (OCT). According to the results, our result shows excellent visualization of OCT-captured images.

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Manuscript ID.  0180
Paper No.  2020-SAT-P0602-P002
Guan-Lin Chen
Research on Recognizing Skin Lymphoma Images Using Neural Network
Guan-Lin Chen;Wang-Teng Fan;Hsiang-Chen Wang;Yu-Ping Hsiao

Skin lymphoma is a rare skin disease. Easily misjudged as the more common atopic dermatitis or psoriasis. We use machine learning image recognition technology. I hope to use deep learning to achieve preliminary diagnostic capabilities, shorten the time between consultations, and quickly help patients treat illnesses.

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Manuscript ID.  0038
Paper No.  2020-SAT-P0602-P003
Ping-Wei Chung
Extracorporeal red light laser equipment of precise intramedullary nail hole positioning
Ping-Wei Chung;Yu-Chiao Sue;Wei-Chi Chen;Jau-Sheng Wang

Our photo targeting method can reduce the light scattering.We hoped that this targeting device will increase targeting accuracy, decrease operative time, and decrease the radiation from fluoroscopy.

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Manuscript ID.  0029
Paper No.  2020-SAT-P0602-P004
Yu-Cheng Lin
Lossy Mode Resonance Based Protein Biomedical Sensor with Self-heating Function
Yu-Cheng Lin;Kuan-Yen Chang;Ling-Wei Qiu;Yi-Kai Jin;Guo-Wei Yao;You-Wei Chang;Yi-Xian Wen

The lossy mode resonance sensor with a self-heating electrode to immobilize bovine serum albumin (BSA) was proposed and studied. The sensor is a planar waveguide coated with a thin film of ITO. With controlling the external voltage to generate heat through ITO, the LMR wavelength shift is more obvious.

 
 
Manuscript ID.  0285
Paper No.  2020-SAT-P0602-P005
Ting-Wei Chiang
Evaluation of ECMO Patients’ Recovery Using Functional Near-Infrared Spectroscopy and Machine Learning
Ting-Wei Chiang;Yi-Chih Chen;Tzu-Hsin Fan;Chia-Wei Sun

Extracorporeal membrane oxygenation (ECMO) is a lifesaving rescue treatment in refractory respiratory or cardiac failure. However, no guidelines or reliable clinical parameters are available for adjusting ECMO treatment in terms of machine settings. Therefore, this study applied near-infrared spectroscopy (NIRS) to observe these patients' global circulatory status.

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Manuscript ID.  0726
Paper No.  2020-SAT-P0602-P006
Ting-Ming Huang
Application of Light Tubes to Powering Implantable Retinal Prostheses
Ting-Ming Huang;Fong-Zhi Chen;Chin-Fong Chiu;Chung-Yu Wu

Implantable retinal prostheses are now regarded as solutions to those who lose their vision due to retinitis Pigmentosa. To supply power to these prostheses, infrared light is illuminated to the photovoltaic cell inside them. Light Tubes are applied to guide the light. Results and discussion are presented.

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Manuscript ID.  0184
Paper No.  2020-SAT-P0602-P007
yu yang Chen
Intelligent Identification of Few-layers MoS2
yu yang Chen;Kai Chun Li;Hsiang Chen Wang

The large-area characterization, precision, intelligent automation, and high-efficiency detection of nanostructures for 2D materials have not yet reached an industrial level. We propose deep neural network, one-dimensional (1D) convolutional neural network to explore the correlation between the accuracy of model recognition and the optical characteristics of few-layers MoS2.

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Manuscript ID.  0249
Paper No.  2020-SAT-P0602-P008
Pei-Jung Wu
The optimal lighting in the office space for employees’ comfort
Pei-Jung Wu;Ching-Ju Chou;Chien-Yu Chen;Hsing-Yu Hou;Chih-Teng Chen

Healthy work lighting is primary for indoor workers nowadays. An office lighting design system conforming to users’ comfort is therefore proposed in this study. For conforming the comfort, electroencephalogram (EEG) and heart rate variability (HRV) are regarded as the physiological parameters for objective evaluation, and questionnaire is the subjective evaluation.

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Manuscript ID.  0431
Paper No.  2020-SAT-P0602-P009
Bo-Wei Lai
Blood Vessel Near-Infrared Image Reconstruction by Learning a Deep Residual Network
Bo-Wei Lai;Yi-feng Liu;Ying-Sheng Lin;Hsi-Chao Chen;Yu-Fung Lin;Ting-Yu Hsu;Ting-Hsuan Chen

The research developed a SWIRCNN architectures to reconstruct the human blood vessel of near-infrared image. The SWIRCNN was based on a de-noising convolutional neural network (DnCNN), which was used residual neural network (ResNet), and the SWIRCNN
network can remove the periodic noise from 19.1 dB to 26.4 dB.


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