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Academic Journal

Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation

Subjects: Deep learning; Feature fusion; Medical image segmentation

  • 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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Academic Journal

COSTA:A Multi-center TOF-MRA Dataset and A Style Self-Consistency Network for Cerebrovascular Segmentation

Subjects: Annotations; Feature extraction; Hospitals

  • 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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Academic Journal

Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels

Subjects: Adaptive model; Brain vessel segmentation; Semi-supervised learning

  • 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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Academic Journal

Simultaneous Hip Implant Segmentation and Gruen Landmarks Detection

Subjects: Arthroplasty; Image segmentation; Landmarks detection

  • 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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Academic Journal

Accurate segmentation of head and neck radiotherapy CT scans with 3D CNNs: consistency is key

Subjects: 3D auto-segmentation; effective supervised learning; training annotation consistency

  • 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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Academic Journal

Segmentation of Weeds and Crops Using Multispectral Imaging and CRF-enhanced U-Net

Subjects: Semantic image segmentation; deep learning; precision agriculture

  • Source: Sahin , H M , Miftahushudur , T , Grieve , B & Yin , H 2023 , ' Segmentation of Weeds and Crops Using Multispectral Imaging and CRF-enhanced U-Net ' , Computers and

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Academic Journal

Multiple Dynamic Pricing for Demand Response with Adaptive Clustering-based Customer Segmentation in Smart Grids

Subjects: multiple dynamic pricing; demand response; adaptive customer segmentation

  • Source: Meng , F , Ma , Q , Liu , Z & Zeng , X 2023 , ' Multiple Dynamic Pricing for Demand Response with Adaptive Clustering-based Customer Segmentation in Smart Grids ' ,

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Academic Journal

Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation

  • 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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Academic Journal

A semi-automatic segmentation method for meningioma developed using a variational approach model

Subjects: Humans; Meningioma/diagnostic imaging; Reproducibility of Results

  • 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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Academic Journal

Efficient Pyramid Context Encoding and Feature Embedding for Semantic Segmentation

Subjects: semantic segmentation; convolutional neural networks; pyramid context encoding

  • Source: Liu , M & Yin , H 2021 , ' Efficient Pyramid Context Encoding and Feature Embedding for Semantic Segmentation ' , Image and Vision Computing , vol. 111 , 104195 .

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