Myopic Maculopathy Analysis
MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8-12, 2023, Proceedings
(Sprache: Englisch)
This book constitutes the MICCAI Challenge, MMAC 2023, that held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, which took place in October 2023.
The 11 long papers included in this volume presents a wide range of state-of-the-art...
The 11 long papers included in this volume presents a wide range of state-of-the-art...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
53.49 €
26 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Myopic Maculopathy Analysis “
Klappentext zu „Myopic Maculopathy Analysis “
This book constitutes the MICCAI Challenge, MMAC 2023, that held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, which took place in October 2023. The 11 long papers included in this volume presents a wide range of state-of-the-art deep learning methods developed for the various tasks presented in the challenge.
Inhaltsverzeichnis zu „Myopic Maculopathy Analysis “
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction.- Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images.- Towards Label-efficient Deep Learning for Myopic Maculopathy Classification.- Ensemble Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation.- Beyond MobileNet: An improved MobileNet for Retinal Diseases.- Prediction of Spherical Equivalent With Vanilla ResNet.- Semi-supervised learning for Myopic Maculopathy Analysis.- A Clinically Guided Approach for Training Deep Neural Networks for Myopic Maculopathy Classification.- Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network.- Self-supervised Learning and Data Diversity based Prediction of Spherical Equivalent.- Myopic Maculopathy Analysis using Multi-Task Learning and Pseudo Labeling.
Bibliographische Angaben
- 2024, 2024, X, 121 Seiten, 31 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Bin Sheng, Hao Chen, Tien Yin Wong
- Verlag: Springer, Berlin
- ISBN-10: 3031548566
- ISBN-13: 9783031548567
Sprache:
Englisch
Kommentar zu "Myopic Maculopathy Analysis"
0 Gebrauchte Artikel zu „Myopic Maculopathy Analysis“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Myopic Maculopathy Analysis".
Kommentar verfassen