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Deepmind Technologies Ltd 3d u-net (2018)
3d U Net (2018), supplied by Deepmind Technologies Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/3d+u-net/3d+u+net/pm40428060-224-14-3
Average 90 stars, based on 1 article reviews
3d u-net (2018) - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state-of-art applications.
Article Snippet: Following the success of Ibragimov and Xing26 in employing deep-learning methods, the Google DeepMind group studied the HaN image segmentation in more detail.46 They applied CT dataset to the 3D U-Net and achieved performance similar to experts in delineating.

Article Title: Recent Optical Coherence Tomography (OCT) Innovations for Increased Accessibility and Remote Surveillance
Article Snippet: DeepMind 3D U-Net (2018) , 15-class tissue map: retinal layers, fluids (IRF/SRF), PED, etc. , Enabled expert-level diagnosis (AUC ≈ 99%) using segmented maps; device-agnostic tissue representation , De Fauw et al., Nature Medicine 2018, [ ] .



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Image Search Results


Summary of the preprocessing pipelines adopted.

Journal: Diagnostics

Article Title: Virtual Biopsy for the Prediction of MGMT Promoter Methylation in Gliomas: A Comprehensive Review of Radiomics and Deep Learning Approaches Applied to MRI

doi: 10.3390/diagnostics15030251

Figure Lengend Snippet: Summary of the preprocessing pipelines adopted.

Article Snippet: Li et al. [ ] , 3D U Net + ITK-SNAP , Not specified , MatLab , Z-score.

Techniques: Software, Stripping Membranes