東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Computer-aided analysis of gastroint...

Bernal, Jorge.

FindBook

Google Book

Amazon

博客來

Computer-aided analysis of gastrointestinal videos

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computer-aided analysis of gastrointestinal videos/ edited by Jorge Bernal, Aymeric Histace.
其他作者:	Bernal, Jorge.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xxiv, 187 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Gastrointestinal system - Examination -
電子資源:	https://doi.org/10.1007/978-3-030-64340-9
ISBN:	9783030643409

Computer-aided analysis of gastrointestinal videos
Computer-aided analysis of gastrointestinal videos[electronic resource] /edited by Jorge Bernal, Aymeric Histace. - Cham :Springer International Publishing :2021. - xxiv, 187 p. :ill., digital ;24 cm.

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.

This book opens with an introduction to the main purpose and tasks of the GIANA challenge, as well as a summary and an analysis of the results and performance obtained by the 20 participating teams. The early and accurate diagnosis of gastrointestinal diseases is critical for increasing the chances of patient survival, and efficient screening is vital for locating precursor lesions. Video colonoscopy and wireless capsule endoscopy (WCE) are the gold-standard tools for colon and intestinal tract screening, respectively. Yet these tools still present some drawbacks, such as lesion miss rate, lack of in vivo diagnosis capabilities, and perforation risk. To mitigate these, computer-aided detection/diagnosis systems can play a key role in assisting clinicians in the different stages of the exploration. 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. 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.

ISBN: 9783030643409

Standard No.: 10.1007/978-3-030-64340-9doiSubjects--Topical Terms:

3505124
Gastrointestinal system
--Examination

LC Class. No.: RC804.E6

Dewey Class. No.: 616.307545

Computer-aided analysis of gastrointestinal videos
LDR:03263nmm a2200337 a 4500 001 2244349
003 DE-He213
005 20210709143320.0
006 m d
007 cr nn 008maaau
008 211207s2021 sz s 0 eng d
020 $a 9783030643409 $q (electronic bk.)
020 $a 9783030643393 $q (paper)
024 7 $a 10.1007/978-3-030-64340-9 $2 doi
035 $a 978-3-030-64340-9
040 $a GP $c GP
041 0 $a eng
050 4 $a RC804.E6
072 7 $a UYT $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYT $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 616.307545 $2 23
090 $a RC804.E6 $b C738 2021
245 0 0 $a Computer-aided analysis of gastrointestinal videos $h [electronic resource] / $c edited by Jorge Bernal, Aymeric Histace.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xxiv, 187 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a This book opens with an introduction to the main purpose and tasks of the GIANA challenge, as well as a summary and an analysis of the results and performance obtained by the 20 participating teams. The early and accurate diagnosis of gastrointestinal diseases is critical for increasing the chances of patient survival, and efficient screening is vital for locating precursor lesions. Video colonoscopy and wireless capsule endoscopy (WCE) are the gold-standard tools for colon and intestinal tract screening, respectively. Yet these tools still present some drawbacks, such as lesion miss rate, lack of in vivo diagnosis capabilities, and perforation risk. To mitigate these, computer-aided detection/diagnosis systems can play a key role in assisting clinicians in the different stages of the exploration. 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. 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.
650 0 $a Gastrointestinal system $x Examination $x Data processing. $3 3505124
650 0 $a Computer vision. $3 540671
650 0 $a Image analysis. $3 561018
650 1 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Imaging / Radiology. $3 891022
700 1 $a Bernal, Jorge. $3 3505122
700 1 $a Histace, Aymeric. $3 3505123
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-64340-9
950 $a Computer Science (SpringerNature-11645)