Bernal / Histace Computer-Aided Analysis of Gastrointestinal Videos
Buch, Englisch,
174 Seiten, Gebunden, Book, Format (B × H): 155 mm x 235 mm
1. Auflage 2021,
174 Seiten, Gebunden, Book, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-030-64339-3
Verlag: Springer, Berlin
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This book presents the latest, state-of-the-art approaches in this field, and also tackles the clinical considerations required to efficiently deploy these systems in the exploration room. The coverage draws upon results from the Gastrointestinal Image Analysis (GIANA) Challenge, part of the EndoVis satellite events of the conferences MICCAI 2017 and 2018. Each method proposed to address the different subtasks of the challenges is detailed in a separate chapter, offering a deep insight into this topic of interest for public health.
This book appeals to researchers, practitioners, and lecturers spanning both the computer vision and gastroenterology communities.
Bernal, Jorge
Dr. Jorge Bernal del Nozal is Associate Professor in the Department of Computer Science at the Autonomous University of Barcelona, and Associate Researcher in the Computer Vision Center, Barcelona, Spain.
Dr. Aymeric Histace is Full Professor of Computer Vision in the ETIS (Information Processing and System Team) lab at ENSEA Cergy-Pontoise, France.
1. Clinical context for Intelligent Systems in Colonoscopy.- 2. Clinical context for Wireless Capsule Endoscopy Image Analysis.- 3. Technical Context for Intelligent Systems in Colonoscopy.- 4. Technical Context for Wireless Capsule Endoscopy image analysis.- 5. Combination of Color-based Segmentation, Markov Random Fields and Multilayer Perceptron.- 6. Hand Crafted Method: ROI Selection and Texture Description.- 7. AECNN: Adversarial and Enhanced Convolutional Neural Networks.- 8. Dilated ResFCN and SE-Unet for Polyp Segmentation.- 9. Multi-encoder Decoder Network for Polyp Detection.- 10. Multi-resolution Multi-task Network and Polyp Tracking.
Research
This book presents the latest, state-of-the-art approaches in this field, and also tackles the clinical considerations required to efficiently deploy these systems in the exploration room. The coverage draws upon results from the Gastrointestinal Image Analysis (GIANA) Challenge, part of the EndoVis satellite events of the conferences MICCAI 2017 and 2018. Each method proposed to address the different subtasks of the challenges is detailed in a separate chapter, offering a deep insight into this topic of interest for public health.
This book appeals to researchers, practitioners, and lecturers spanning both the computer vision and gastroenterology communities.
Bernal, Jorge
Dr. Jorge Bernal del Nozal is Associate Professor in the Department of Computer Science at the Autonomous University of Barcelona, and Associate Researcher in the Computer Vision Center, Barcelona, Spain.
Dr. Aymeric Histace is Full Professor of Computer Vision in the ETIS (Information Processing and System Team) lab at ENSEA Cergy-Pontoise, France.
1. Clinical context for Intelligent Systems in Colonoscopy.- 2. Clinical context for Wireless Capsule Endoscopy Image Analysis.- 3. Technical Context for Intelligent Systems in Colonoscopy.- 4. Technical Context for Wireless Capsule Endoscopy image analysis.- 5. Combination of Color-based Segmentation, Markov Random Fields and Multilayer Perceptron.- 6. Hand Crafted Method: ROI Selection and Texture Description.- 7. AECNN: Adversarial and Enhanced Convolutional Neural Networks.- 8. Dilated ResFCN and SE-Unet for Polyp Segmentation.- 9. Multi-encoder Decoder Network for Polyp Detection.- 10. Multi-resolution Multi-task Network and Polyp Tracking.
Research
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