Attention U-Net

GPTKB entity

Statements (58)
Predicate Object
gptkbp:instance_of gptkb:television_channel
gptkb:Alumni_Association
gptkbp:adapted_into gptkb:U-Net_with_Attention
gptkbp:applies_to Medical Imaging
gptkbp:based_on U-Net Architecture
gptkbp:developed_by gptkb:Ozan_Oktay
Biomedical Applications
gptkbp:enhances Feature Representation
gptkbp:features gptkb:Attention_Gates
gptkbp:has_achievements Higher Accuracy
https://www.w3.org/2000/01/rdf-schema#label Attention U-Net
gptkbp:improves U-Net performance
gptkbp:includes Skip Connections
gptkbp:is_adopted_by Universities
Research Labs
Healthcare Institutions
gptkbp:is_cited_in Numerous Research Papers
gptkbp:is_compared_to gptkb:Standard_U-Net
gptkbp:is_designed_for Image Segmentation
gptkbp:is_documented_in Research Articles
Technical Reports
gptkbp:is_enhanced_by gptkb:streaming_service
Data Augmentation
gptkbp:is_evaluated_by gptkb:ISLES_Challenge
BRATS Dataset
Dice Coefficient
Io U Metric
gptkbp:is_explored_in Conference Papers
Thesis Works
gptkbp:is_implemented_in gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
gptkbp:is_known_for Improved Segmentation Accuracy
gptkbp:is_optimized_for Real-Time Processing
gptkbp:is_part_of Deep Learning Models
gptkbp:is_popular_in Computer Vision Community
gptkbp:is_promoted_by Online Courses
Open Source Projects
Webinars
gptkbp:is_recognized_for High Performance
Innovative Approach
gptkbp:is_related_to Instance Segmentation
Semantic Segmentation
gptkbp:is_supported_by Collaborative Research
Community Contributions
Funding Agencies
gptkbp:is_tested_for Real Data
Synthetic Data
gptkbp:is_used_in Cell Segmentation
Organ Segmentation
Brain Tumor Segmentation
Liver Tumor Segmentation
gptkbp:published_by gptkb:2018
gptkbp:reduces Overfitting
gptkbp:requires High Computational Resources
gptkbp:training Annotated Datasets
gptkbp:utilizes Attention Mechanism
gptkbp:bfsParent gptkb:Alumni_Association
gptkbp:bfsLayer 3