Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation-Reference-Cited by-同舟云学术

Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
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Author:

Ding Nan¹,Urien Hélène¹,Rossant Florence¹,Sublime Jérémie¹,Paques Michel²

Affiliation:

1. Institut Supérieur d’Electronique de Paris (ISEP),Paris,France

2. Sorbonne Université,Centre D’investigation Clinique 1423, INSERM & Direction de l’Hospitalisation et des Soins, Hôpital des Quinze-Vingts,Paris,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068862/10068777/10068989.pdf?arnumber=10068989

Reference23 articles.

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4. Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision;kervadec;Medical Imaging with Deep Learning (MIDL),2020

5. Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

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1. A Complete Method for the 3D Reconstruction of Axonal Pathways from 2 Orthogonal 3D OCT Images of the Lamina Cribrosa;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. 3D Orthogonal SD-OCT Volumes Registration for the Enhancement of Pores in Lamina Cribrosa;2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI);2023-04-18