Whole-body tumor segmentation from PET/CT images using a two-stage cascaded neural network with camouflaged object detection mechanisms.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16438
Abstract: BACKGROUND Whole-body Metabolic Tumor Volume (MTVwb) is an independent prognostic factor for overall survival in lung cancer patients. Automatic segmentation methods have been proposed for MTV calculation. Nevertheless, most of existing methods for patients with… read more here.
Keywords: whole body; code net; body; segmentation ... See more keywords
Integrating Part-Object Relationship and Contrast for Camouflaged Object Detection
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DOI: 10.1109/tifs.2021.3124734
Abstract: Object detectors that solely rely on image contrast are struggling to detect camouflaged objects in images because of the high similarity between camouflaged objects and their surroundings. To address this issue, in this paper, we… read more here.
Keywords: camouflaged object; object relationship; part object; contrast ... See more keywords
Feature Aggregation and Propagation Network for Camouflaged Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3217695
Abstract: Camouflaged object detection (COD) aims to detect/segment camouflaged objects embedded in the environment, which has attracted increasing attention over the past decades. Although several COD methods have been developed, they still suffer from unsatisfactory performance… read more here.
Keywords: feature; object detection; camouflaged object; feature aggregation ... See more keywords
FSNet: Focus Scanning Network for Camouflaged Object Detection
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DOI: 10.1109/tip.2023.3266659
Abstract: Camouflaged object detection (COD) aims to discover objects that blend in with the background due to similar colors or textures, etc. Existing deep learning methods do not systematically illustrate the key tasks in COD, which… read more here.
Keywords: network; focus scanning; object detection; camouflaged object ... See more keywords
Polarization-driven camouflaged object segmentation via gated fusion.
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DOI: 10.1364/ao.466339
Abstract: Recently, polarization-based models for camouflaged object segmentation have attracted research attention. However, to construct this camouflaged object segmentation model, the main challenge is to effectively fuse polarization and light intensity features. Therefore, we propose a… read more here.
Keywords: gated fusion; segmentation; object segmentation; polarization ... See more keywords