Habitat-radiomics combining multichannel 2.5D deep learning for differentiating adrenal adenomas from metastases using automatic segmentation: a multicenter study. [PDF]
Front Endocrinol (Lausanne)Yin S +7 more
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AIM-SEEM: Adapting SEEM for Open-Vocabulary Terrain Segmentation Across Arbitrary Imaging Modalities. [PDF]
Sensors (Basel)Wang Y, Xiang X, Wu Y, Zhang Y, Li X.
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A foundation model for multi-task cross-distribution restoration of fluorescence microscopy images. [PDF]
Nat CommunLu Q, Liu X, Feng Q, Zeng S, Cheng S.
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A high-resolution dataset of mouse brain vasculature for deep learning-based reconstruction. [PDF]
Front NeuroinformDu X, Li S, Wang X, Shen Y, Quan T.
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Mexican sign language 3D static alphabet dataset. [PDF]
Data BriefRios-Figueroa HV, Sosa-Jiménez CO.
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Multi-stage deep learning framework for robust recognition of overlapping and faded handwritten text in bank cheques. [PDF]
Sci RepChaitanyaswami H +6 more
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DamSegment: A curriculum-structured image dataset for damage assessment of concrete dams. [PDF]
Data BriefGharehbaghi V +4 more
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Knowledge-guided brain tumor segmentation via synchronized visual-semantic-topological prior fusion. [PDF]
BMC Med ImagingZhang MD, Pan KW.
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A-eye: Automated 3D MRI segmentation and morphometric feature extraction for eye and orbit atlas construction. [PDF]
PLoS OneBarranco J +13 more
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Synthetic plant disease image generation to improve segmentation tasks in low-resource settings. [PDF]
Front Plant SciCooper E, Hartley Z, French A.
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