Search Results for author: Daniel S. Elson

Found 11 papers, 2 papers with code

Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery

1 code implementation7 Jul 2023 Baoru Huang, Yicheng Hu, Anh Nguyen, Stamatia Giannarou, Daniel S. Elson

In surgical oncology, it is challenging for surgeons to identify lymph nodes and completely resect cancer even with pre-operative imaging systems like PET and CT, because of the lack of reliable intraoperative visualization tools.

H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry

no code implementations22 Apr 2021 Baoru Huang, Jian-Qing Zheng, Stamatia Giannarou, Daniel S. Elson

To enforce the epipolar constraint, the mutual epipolar attention mechanism has been designed which gives more emphasis to correspondences of features which lie on the same epipolar line while learning mutual information between the input stereo pair.

Stereo Depth Estimation Stereo Matching

Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation

no code implementations19 Apr 2018 Qing-Biao Li, Xiao-Yun Zhou, Jianyu Lin, Jian-Qing Zheng, Neil T. Clancy, Daniel S. Elson

Intra-operative measurement of tissue oxygen saturation (StO2) has been widely explored by pulse oximetry or hyperspectral imaging (HSI) to assess the function and viability of tissue.

Image-to-Image Translation Translation

Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition

no code implementations22 Jun 2017 Geoffrey Jones, Neil T. Clancy, Xiaofei Du, Maria Robu, Simon Arridge, Daniel S. Elson, Danail Stoyanov

Tissue oxygenation and perfusion can be an indicator for organ viability during minimally invasive surgery, for example allowing real-time assessment of tissue perfusion and oxygen saturation.

Recovering Dense Tissue Multispectral Signal from in vivo RGB Images

no code implementations20 Jun 2017 Jianyu Lin, Neil T. Clancy, Daniel S. Elson

Hyperspectral/multispectral imaging (HSI/MSI) contains rich information clinical applications, such as 1) narrow band imaging for vascular visualisation; 2) oxygen saturation for intraoperative perfusion monitoring and clinical decision making [1]; 3) tissue classification and identification of pathology [2].

Decision Making

Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging

no code implementations19 Jun 2017 Jianyu Lin, Neil T. Clancy, Yang Hu, Ji Qi, Taran Tatla, Danail Stoyanov, Lena Maier-Hein, Daniel S. Elson

Intra-operative measurements of tissue shape and multi/ hyperspectral information have the potential to provide surgical guidance and decision making support.

Decision Making Optical Flow Estimation

Inference of Haemoglobin Concentration From Stereo RGB

no code implementations11 Jul 2016 Geoffrey Jones, Neil T. Clancy, Yusuf Helo, Simon Arridge, Daniel S. Elson, Danail Stoyanov

We demonstrate by using the co-registered stereo image data from two cameras it is possible to get robust SO2 estimation as well.

Computational Efficiency

Probe-based Rapid Hybrid Hyperspectral and Tissue Surface Imaging Aided by Fully Convolutional Networks

no code implementations15 Jun 2016 Jianyu Lin, Neil T. Clancy, Xueqing Sun, Ji Qi, Mirek Janatka, Danail Stoyanov, Daniel S. Elson

In HSI mode standard endoscopic illumination is used, with the fibre probe collecting reflected light and encoding the spatial information into a linear format that can be imaged onto the slit of a spectrograph.

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