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Subjects: Deep learning; Feature fusion; Medical image segmentation
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Source:
Munia , A A , Abdar , M , Hasan , M , Jalali , M S , Banerjee , B , Khosravi , A , Hossain , I , Fu , H & Frangi , A F 2025 , ' Attention-guided hierarchical fusion U-Net for uncertainty-driven
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Subjects: Annotations; Feature extraction; Hospitals
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Source:
Mou , L , Yan , Q , Lin , J , Zhao , Y , Liu , Y , Ma , S , Zhang , J , Lv , W , Zhou , T , Frangi , A F & Zhao , Y 2024 , ' COSTA : A Multi-center TOF-MRA Dataset and A Style Self-Consistency Network
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Subjects: Adaptive model; Brain vessel segmentation; Semi-supervised learning
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Source:
Lin , F , Xia , Y , Ravikumar , N , Liu , Q , MacRaild , M & Frangi , A F 2024 , Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels . in Y Xue
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Subjects: Arthroplasty; Image segmentation; Landmarks detection
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Source:
Alzaid , A , Lineham , B , Dogramadzi , S , Pandit , H , Frangi , A F & Xie , S Q 2024 , ' Simultaneous Hip Implant Segmentation and Gruen Landmarks Detection ' , IEEE
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Subjects: 3D auto-segmentation; effective supervised learning; training annotation consistency
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Source:
Henderson , E , Vasquez osorio , E , Van herk , M , Brouwer , C L , Steenbakkers , R J H M & Green , A F 2023 , ' Accurate segmentation of head and neck radiotherapy CT
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Source:
He , J , Cheng , L , Fang , C , Feng , Z , Mu , T & Song , M 2024 , Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation . in 38th AAAI
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Subjects: Humans; Meningioma/diagnostic imaging; Reproducibility of Results
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Source:
Burrows , L , Patel , J , Islim , A I , Jenkinson , M D , Mills , S J & Chen , K 2024 , ' A semi-automatic segmentation method for meningioma developed using a
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