V-Net++

GPTKB entity

Statements (64)
Predicate Object
gptkbp:instance_of gptkb:software_framework
gptkbp:applies_to Residual Learning
gptkbp:based_on U-Net Architecture
gptkbp:can_be CT Scans
MRI Scans
gptkbp:developed_by gptkb:Research_Institute
Collaborative Efforts
Automated Diagnosis
gptkbp:enhances Feature Propagation
gptkbp:features Skip Connections
https://www.w3.org/2000/01/rdf-schema#label V-Net++
gptkbp:improves gptkb:V-Net
gptkbp:is_adopted_by AI Researchers
gptkbp:is_available_on gptkb:archive
gptkbp:is_cited_in Numerous Research Papers
gptkbp:is_compatible_with gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
gptkbp:is_documented_in Technical Papers
gptkbp:is_evaluated_by gptkb:military_unit
Accuracy
Performance Metrics
User-Friendliness
Jaccard Index
Dice Coefficient
Public Benchmarks
Segmentation Quality
gptkbp:is_implemented_in gptkb:Library
gptkbp:is_influenced_by gptkb:Generative_Adversarial_Networks
Deep Learning Advances
gptkbp:is_optimized_for GPU Processing
gptkbp:is_part_of gptkb:hospital
gptkb:Photographer
Deep Learning Frameworks
Neural Network Models
AI Research Community
AI Tools for Medicine
Computer Vision Field
gptkbp:is_popular_in Healthcare Research
gptkbp:is_related_to Image Processing
gptkbp:is_scalable Larger Datasets
gptkbp:is_supported_by Community Contributions
gptkbp:is_tested_for Robustness
Feature Extraction
Generalization
Tumor Detection
Synthetic Data
Real-World Data
Organ Segmentation
Clinical Applicability
Other Segmentation Models
gptkbp:is_used_by gptkb:hospital
gptkbp:is_used_for Image Analysis
Medical Image Segmentation
gptkbp:is_used_in gptkb:legal_case
gptkbp:is_utilized_in gptkb:healthcare_organization
Pathology
Image Reconstruction
gptkbp:presented_by Conferences
gptkbp:requires Large Amounts of Data
gptkbp:supports Multi-Class Segmentation
gptkbp:training 3 D Medical Datasets
gptkbp:utilizes 3 D Convolutions
gptkbp:bfsParent gptkb:V-Net
gptkbp:bfsLayer 5