國立高雄大學圖資館 |

Language: English

Back

Image-based prediction of retinal disease progressionMICCAI Challenges, DIAMOND 2024 and MARIO 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Image-based prediction of retinal disease progressionedited by Gwenolé Quellec, Mostafa El Habib Daho, Rachid Zeghlache.
Reminder of title:	MICCAI Challenges, DIAMOND 2024 and MARIO 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
remainder title:	DIAMOND 2024
other author:	Quellec, Gwenolé.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xi, 224 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	RetinaCongresses.Diseases
Online resource:	https://doi.org/10.1007/978-3-031-86651-7
ISBN:	9783031866517$q(electronic bk.)

Image-based prediction of retinal disease progressionMICCAI Challenges, DIAMOND 2024 and MARIO 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
Image-based prediction of retinal disease progressionMICCAI Challenges, DIAMOND 2024 and MARIO 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /[electronic resource] :DIAMOND 2024edited by Gwenolé Quellec, Mostafa El Habib Daho, Rachid Zeghlache. - Cham :Springer Nature Switzerland :2025. - xi, 224 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,155031611-3349 ;. - Lecture notes in computer science ;4891..

This book constitutes the proceedings from the MICCAI Challenges, Device-Independent Diabetic Macular Edema Onset Prediction, DIAMOND 2024, and Monitoring Age-Related macular degeneration progression in Optical coherence tomography, MARIO 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 15 papers included in this book from MARIO 2024 were carefully reviewed and selected from 17 submissions, whereas the 6 papers included here from DIAMOND 2024 were carefully reviewed and selected from 8 submissions. These papers focus on a wide range of state-of-the-art deep learning approaches to derive patient specific rules for Diabetic retinopathy (DR) and age-related macular degeneration (AMD) progression prediction from retinal images.

ISBN: 9783031866517$q(electronic bk.)

Standard No.: 10.1007/978-3-031-86651-7doiSubjects--Topical Terms:

991053
Retina
--Diseases--Congresses.

LC Class. No.: RE551

Dewey Class. No.: 617.73500285

Image-based prediction of retinal disease progressionMICCAI Challenges, DIAMOND 2024 and MARIO 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
LDR:02172nmm a2200361 a 4500 001 677523
003 DE-He213
005 20250426130155.0
006 m d
007 cr nn 008maaau
008 251021s2025 sz s 0 eng d
020 $a 9783031866517$q(electronic bk.)
020 $a 9783031866500$q(paper)
024 7 $a 10.1007/978-3-031-86651-7 $2 doi
035 $a 978-3-031-86651-7
040 $a GP $c GP
041 0 $a eng
050 4 $a RE551
072 7 $a UYT $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYT $2 thema
082 0 4 $a 617.73500285 $2 23
090 $a RE551 $b .D537 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Image-based prediction of retinal disease progression $h [electronic resource] : $b MICCAI Challenges, DIAMOND 2024 and MARIO 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings / $c edited by Gwenolé Quellec, Mostafa El Habib Daho, Rachid Zeghlache.
246 3 $a DIAMOND 2024
246 3 $a MARIO 2024
246 3 $a MICCAI 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xi, 224 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15503
520 $a This book constitutes the proceedings from the MICCAI Challenges, Device-Independent Diabetic Macular Edema Onset Prediction, DIAMOND 2024, and Monitoring Age-Related macular degeneration progression in Optical coherence tomography, MARIO 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 15 papers included in this book from MARIO 2024 were carefully reviewed and selected from 17 submissions, whereas the 6 papers included here from DIAMOND 2024 were carefully reviewed and selected from 8 submissions. These papers focus on a wide range of state-of-the-art deep learning approaches to derive patient specific rules for Diabetic retinopathy (DR) and age-related macular degeneration (AMD) progression prediction from retinal images.
650 0 $a Retina $x Diseases $x Imaging $x Data processing $v Congresses. $3 991053
650 0 $a Diagnostic imaging $x Digital techniques $v Congresses. $3 445235
650 0 $a Diagnostic imaging $x Data processing $v Congresses. $3 445765
650 1 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Machine Learning. $3 833608
700 1 $a Quellec, Gwenolé. $3 991050
700 1 $a El Habib Daho, Mostafa. $3 991051
700 1 $a Zeghlache, Rachid. $3 991052
710 2 $a SpringerLink (Online service) $3 273601
711 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u https://doi.org/10.1007/978-3-031-86651-7
950 $a Computer Science (SpringerNature-11645)