Inter-annotator agreement in spoken language annotation: Applying uα-family coefficients to discourse segmentation - Pons Bordería - Russian Journal of Linguistics
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain - ScienceDirect
A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT | Scientific Reports
Caroline Petitjean Twitterren: "1/n - If you've worked with image segmentation, you're familiar with the Dice coefficient (DC), an overlap metric computed as 2x the cardinality (# of pixels) of the intersection
Overall Accuracy and Kappa Coefficients for the six classification methods | Download Table
Overall accuracy (OA), Kappa coefficient, average F1 score, and time... | Download Scientific Diagram
Mean kappa values for comparison of segmentation of 3 cerebral... | Download Table
PDF] Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods | Semantic Scholar
Cell segmentation-free inference of cell types from in situ transcriptomics data | Nature Communications
PDF) CONTENT BASED AUDIO CLASSIFICATION AND RETRIEVAL USING SEGMENTATION, FEATURE EXTRACTION AND NEURAL NETWORK APPROACH | Nilesh Patil - Academia.edu
FKM Based Approach for Hybrid Video Segmentation
PDF) Impact of non-local means filtering on brain tissue segmentation | Christian Gaser - Academia.edu
A Cell Derived Active Contour (CDAC) Method for Robust Tracking in Low Frame Rate, Low Contrast Phase Microscopy - an Example: The Human hNT Astrocyte | PLOS ONE
Frontiers | Deep Learning Enables Prostate MRI Segmentation: A Large Cohort Evaluation With Inter-Rater Variability Analysis
Mean kappa values for comparison of segmentation of 3 cerebral... | Download Table
Confusion matrices of the visual grades of segmentation on MRI scans... | Download Scientific Diagram
A generalized deep learning framework for whole-slide image segmentation and analysis | Scientific Reports
IJGI | Free Full-Text | Assessment of Segmentation Parameters for Object-Based Land Cover Classification Using Color-Infrared Imagery