Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures

1. Front Matter

   Pages I-XIV

   PDF

2. 4th International Workshop on Computer Assisted and Robotic Endoscopy, CARE 2017

   1. Front Matter

      Pages 1-1

      PDF

   2. Shape-Based Pose Estimation of Robotic Surgical Instruments

      • Daniel Wesierski, Sebastian Cygert

      Pages 3-15

   3. 3D Endoscope System Using Asynchronously Blinking Grid Pattern Projection for HDR Image Synthesis

      • Ryo Furukawa, Masahito Naito, Daisuke Miyazaki, Masahi Baba, Shinsaku Hiura, Yoji Sanomura et al.

      Pages 16-28

   4. Towards Real-Time Polyp Detection in Colonoscopy Videos: Adapting Still Frame-Based Methodologies for Video Sequences Analysis

      • Quentin Angermann, Jorge Bernal, Cristina Sánchez-Montes, Maroua Hammami, Gloria Fernández-Esparrach, Xavier Dray et al.

      Pages 29-41

   5. Progressive Hand-Eye Calibration for Laparoscopic Surgery Navigation

      • Jinliang Shao, Huoling Luo, Deqiang Xiao, Qingmao Hu, Fucang Jia

      Pages 42-49

   6. Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN)

      • Mohammad Ali Armin, Nick Barnes, Jose Alvarez, Hongdong Li, Florian Grimpen, Olivier Salvado

      Pages 50-59

   7. Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking

      • Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Holger Roth, Kensaku Mori

      Pages 60-69

   8. Image-Based Smoke Detection in Laparoscopic Videos

      • Andreas Leibetseder, Manfred Jürgen Primus, Stefan Petscharnig, Klaus Schoeffmann

      Pages 70-87

3. 6th International Workshop on Clinical Image-Based Procedures, CLIP 2017

   1. Front Matter

      Pages 89-89

      PDF

   2. Fully Automatic Detection of Distal Radius Fractures from Posteroanterior and Lateral Radiographs

      • Raja Ebsim, Jawad Naqvi, Tim Cootes

      Pages 91-98

   3. Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones

      • Yuankai Huo, Vaughn Braxton, S. Duke Herrell, Bennett Landman, Smita De

      Pages 99-107

   4. Local Phase-Based Learning for Needle Detection and Localization in 3D Ultrasound

      • Cosmas Mwikirize, John L. Nosher, Ilker Hacihaliloglu

      Pages 108-115

   5. Intracranial Volume Quantification from 3D Photography

      • Liyun Tu, Antonio R. Porras, Scott Ensel, Deki Tsering, Beatriz Paniagua, Andinet Enquobahrie et al.

      Pages 116-123

   6. Automatic Near Real-Time Evaluation of 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip

      • Olivia Paserin, Kishore Mulpuri, Anthony Cooper, Antony J. Hodgson, Rafeef Abugharbieh

      Pages 124-132

   7. Automatic Sentinel Lymph Node Localization in Head and Neck Cancer Using a Coupled Shape Model Algorithm

      • Florian Jung, Biebl-Rydlo Medea, Jean-François Daisne, Stefan Wesarg

      Pages 133-140

   8. Towards an Automated Segmentation of the Ventro-Intermediate Thalamic Nucleus

      • Elena Najdenovska, Constantin Tuleasca, João Jorge, José P. Marques, Philippe Maeder, Jean-Philippe Thiran et al.

      Pages 141-150

   9. Classification of Confocal Endomicroscopy Patterns for Diagnosis of Lung Cancer

      • Debora Gil, Oriol Ramos-Terrades, Elisa Minchole, Carles Sanchez, Noelia Cubero de Frutos, Marta Diez-Ferrer et al.

      Pages 151-159

   10. Automated Classification for Breast Cancer Histopathology Images: Is Stain Normalization Important?

       • Vibha Gupta, Apurva Singh, Kartikeya Sharma, Arnav Bhavsar

       Pages 160-169

   11. Hybrid Tracking for Improved Registration of Laparoscopic Ultrasound and Laparoscopic Video for Augmented Reality

       • William Plishker, Xinyang Liu, Raj Shekhar

       Pages 170-179

This book constitutes the refereed joint proceedings of the 4th International Workshop on Computer Assisted and Robotic Endoscopy, CARE 2017, and the 6th International Workshop on Clinical Image-Based Procedures: Translational Research in Medical Imaging, CLIP 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.

The 7 full papers presented at CARE 2017 and the 10 full papers presented at CLIP 2017 were carefully reviewed and selected. The papers deal with interventional and diagnostic endoscopy integrating the latest advances in computer vision, robotics, medical imaging and information processing and the development and evaluation of new translational image-based techniques in the modern hospital.

 

• 3d reconstruction
• artificial intelligence
• classification
• classifiers
• computer vision
• computerized tomography
• image analysis
• image coding
• image processing
• image quality
• image reconstruction
• image segmentation
• learning systems
• medical imaging
• motion estimation
• neural networks
• signal processing
• Support Vector Machines (SVM)

• University College London, London, United Kingdom

  M. Jorge Cardoso

• McGill University, Montreal, Canada

  Tal Arbel

• Xiamen University, Xiamen, China

  Xiongbiao Luo

• Fraunhofer IGD, Darmstadt, Germany

  Stefan Wesarg, Klaus Drechsler, Cristina Oyarzun Laura

• KUKA Laboratories GmbH, Augsburg, Germany

  Tobias Reichl

• ICREA - Universitat Pompeu Fabra, Barcelona, Spain

  Miguel Ángel González Ballester

• University of Western Ontario, London, Canada

  Jonathan McLeod, Terry Peters

• Fraunhofer, Singapore, Singapore

  Marius Erdt

• Nagoya University, Nagoya, Japan

  Kensaku Mori

• Children's National Health System, Washington, DC, USA

  Marius George Linguraru, Raj Shekhar

• University of Salzburg, Salzburg, Austria

  Andreas Uhl

Policies and ethics