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Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16120
Abstract: BACKGROUND AND PURPOSE Accurate and efficient medical image segmentation plays an important role in subsequent clinical applications such as diagnosis and surgical planning. This paper proposes an efficient interactive framework based on a graph convolutional…
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Keywords:
efficient interactive;
framework;
medical image;
segmentation ... See more keywords
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Published in 2024 at "Nuclear Science and Engineering"
DOI: 10.1080/00295639.2023.2287802
Abstract: Abstract Nuclear forensics relies on different signatures to identify the source of nuclear material. Such signatures include crystalline structure, chemical composition, and particle morphology. One way to quantify morphology in electron microscope imagery is through…
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Keywords:
image;
segmentation;
user input;
interactive segmentation ... See more keywords
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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3520360
Abstract: Interactive segmentation (IS) using minimal prompts like points and bounding boxes facilitates rapid image annotation, which is crucial for enhancing data-driven deep learning methods. Traditional IS methods, however, process only one target per interaction, leading…
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Keywords:
identical class;
class;
imagery;
interactive segmentation ... See more keywords
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Published in 2017 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.26.6.061606
Abstract: Abstract. This paper addresses the problem of interactive multiclass segmentation of images. We propose a fast and efficient new interactive segmentation method called superpixel α fusion (SαF). From a few strokes drawn by a user…
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Keywords:
interactive segmentation;
segmentation;
based method;
superpixel based ... See more keywords