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GFPP-MAE: Gradient-Guided Frequency Reconstruction and Position Predictions Advance MAE for 3D CT Image Segmentation

2025-11-06

Abstract excerpt

<title>Abstract</title> <p>3D computed tomography (CT) image segmentation has been widely studied due to its important role in disease diagnosis and treatment. Since most existing methods rely on expensive manual annotations, self-supervised learning has been introduced to this task. MAE and its variants in 3D medical image analysis have achieved significant performance improvements, but challenges still exist. F...

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Literature Corpus work
616aca71-a79a-58d6-8021-5cad668144f3
DOI
10.21203/rs.3.rs-7711032/v1
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GFPP-MAE: Gradient-Guided Frequency Reconstruction and Position Predictions Advance MAE for 3D CT Image SegmentationDOI 10.21203/rs.3.rs-7711032/v1
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