Medical Image Segmentation – alle Bücher

Ihre Suche nach "Medical Image Segmentation" (Bücher) ergab 8 Treffer.

Deep Learning Applications in Medical Image Segmentation

Apply revolutionary deep learning technology to the fast-growing field of medical image segmentationPrecise medical image segmentation is rapidly becoming one of the most important tools in medical resear…

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Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop

This LNCS conference set constitutes the proceedings of the First Medical Image Segmentation Challenge, MedSAM on Laptop 2024, Held in Conjunction with CVPR 2024, in Seattle, WA, USA, held in June 2024.Th…

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Medical Image Understanding and Analysis

.- Medical Image Segmentation. .- TransE2UNet: Edge Guided TransEfficientUNET for Generalized Colon Polyp Segmentation from Endoscopy Images. .- CA-Seg: An Attribute-based Medical Image Segmentation Frame…

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Human-AI Collaboration

.- Design and assessment for joint systems and workflows. .- Beyond Manual Annotation: A Human-AI Collaborative Framework for Medical Image Segmentation Using Only "Better or Worse" Expert Feedb…

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Generative Artificial Intelligence for Biomedical and Smart Health Informatics

Enables readers to understand the future of medical applications with generative AI and related applicationsGenerative Artificial Intelligence for Biomedical and Smart Health Informatics delivers a compre…

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Deep Learning Theory and Applications

.- End-to-End ASR Model with Iterative Attention Mechanism Enhanced RNN Model for Phoneme Recognition..- Diagnostic Trouble Codes Prediction with DTC-GOAT and Ensembles..- A Fast Fourier Transform-Aided D…

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Less-Supervised Segmentation with Cnns

Less-Supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical…

lieferbar in mind. 4 Wochen

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Applications of Artificial Intelligence and Data Science

.- Advanced Computing and Statistics.- Towards Reserve Margin Correction via Outage Capacity Forecasting Using Gramian Angular Field and Long Short-Term Memory (LSTM). .- Comparison of Hyperspectral Image…

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