Learning to Correct Sloppy Annotations in Electron Microscopy Volumes-Reference-Cited by-同舟云学术

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Learning to Correct Sloppy Annotations in Electron Microscopy Volumes

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Chen Minghao¹,Renuka Mukesh Bangalore²,Mi Lu¹,Lichtman Jeff²,Shavit Nir¹,Meirovitch Yaron²

Affiliation:

1. MIT

2. Harvard University

Funder

Thermo Fisher Scientific

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208953.pdf?arnumber=10208953

Reference84 articles.

1. MRCNN: A stateful Fast R-CNN

2. Solving Large Multicut Problems for Connectomics via Domain Decomposition

3. Graph Cuts and Efficient N-D Image Segmentation

4. Affinity based seeded region growing algorithm for medical image segmentation

5. Laplacian Coordinates for Seeded Image Segmentation

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1. A deep learning-based strategy for producing dense 3D segmentations from sparsely annotated 2D images;2024-06-15

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