Multiscale Attention-Based Instance Segmentation for Measuring Crystals With Large Size Variation-Reference-Cited by-同舟云学术

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Multiscale Attention-Based Instance Segmentation for Measuring Crystals With Large Size Variation

Published:2024 Issue: Volume:73 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Neubauer Theresa¹^ORCID,Berg Astrid¹^ORCID,Wimmer Maria¹^ORCID,Lenis Dimitrios¹^ORCID,Major David¹^ORCID,Winter Philip Matthias¹^ORCID,Paolis Gaia Romana De¹^ORCID,Novotny Johannes¹^ORCID,Lüftner Daniel²^ORCID,Reinharter Katja²^ORCID,Bühler Katja¹^ORCID

Affiliation:

1. VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Vienna, Austria

2. RHI Magnesita GmbH, Leoben, Austria

Funder

BMK, BMDW, Styria, SFG, Tyrol and Vienna Business Agency in the scope of COMET - Competence Centers for Excellent Technologies

FFG

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10371387.pdf?arnumber=10371387

Reference52 articles.

1. Center Guided and Connectivity-Preserving Network for Grain Size Measurement

2. Cellpose: a generalist algorithm for cellular segmentation

3. Recent advances and applications of deep learning methods in materials science

4. A survey on deep learning in medical image analysis

5. Camera as the instrument: the rising trend of vision based measurement

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