Cover Image

USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ostmeier, Sophie, Axelrod, Brian, Bertels, Jeroen, Isensee, Fabian, Lansberg, Maarten G., Christensen, Soren, Albers, Gregory W., Li, Li-Jia, Heit, Jeremy J.
Format:	Preprint
Published:	2022
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists
by: Ostmeier, Sophie, et al.
Published: (2022)

Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT
by: Ostmeier, Sophie, et al.
Published: (2023)

COPE: Chain-Of-Thought Prediction Engine for Open-Source Large Language Model Based Stroke Outcome Prediction from Clinical Notes
by: Liu, Yongkai, et al.
Published: (2025)

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation
by: Gotkowski, Karol, et al.
Published: (2024)

LieRE: Lie Rotational Positional Encodings
by: Ostmeier, Sophie, et al.
Published: (2024)

A Laser Phase Plate for Transmission Electron Microscopy
by: Axelrod, Jeremy J.
Published: (2024)

MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
by: Ulrich, Constantin, et al.
Published: (2023)

Oekologieorientierte Produktinnovationen
by: Ostmeier, Hanns
Published: (2019)

Humano, demasiado humano, ultrahumano El desafío de Nietzsche al humanismo
by: Helmut Heit
Published: (2020)

Análisis espacial del riesgo de establecimiento de Lymantria dispar en bosques nativos de Sudamérica
by: Guillermo Heit
Published: (2014)

Attention Head Entropy of LLMs Predicts Answer Correctness
by: Ostmeier, Sophie, et al.
Published: (2026)

Promptable Longitudinal Lesion Segmentation in Whole-Body CT
by: Kirchhoff, Yannick, et al.
Published: (2025)

Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation
by: Zenk, Maximilian, et al.
Published: (2024)

Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation
by: Ulrich, Constantin, et al.
Published: (2025)

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
by: Isensee, Fabian, et al.
Published: (2024)

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2023)

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models
by: Rokuss, Maximilian, et al.
Published: (2025)

Primus: Enforcing Attention Usage for 3D Medical Image Segmentation
by: Wald, Tassilo, et al.
Published: (2025)

MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2025)

Empty Fields, Empty Promises
by: Ashwood, Loka, et al.
Published: (2023)

Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
by: Wang, Zifu, et al.
Published: (2023)

Preprocessing Uncertain Data into Supersequences for Sorting and Gaps
by: Löffler, Maarten, et al.
Published: (2026)

GENOMICRELATEDNESS - Project Report
by: Isensee, Thomas
Published: (2026)

A Passion for Cooperation
by: Axelrod, Robert
Published: (2023)

íYa basta!
by: Isensee, Laura
Published: (2007)

The Uncertain Realities of Reference Service.
by: Katz, Bill
Published: (1983)

Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations
by: Li, Ming, et al.
Published: (2024)

Medical and Health Information Needs in a Small Community.
by: Broadway, Marsha D., et al.
Published: (1993)

VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation
by: Rokuss, Maximilian, et al.
Published: (2025)

Scaling nnU-Net for CBCT Segmentation
by: Isensee, Fabian, et al.
Published: (2024)

Medical Image Segmentation with SAM-generated Annotations
by: Häkkinen, Iira, et al.
Published: (2024)

FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
by: Xiang, Yangyang, et al.
Published: (2024)

From Detection to Mitigation: Addressing Bias in Deep Learning Models for Chest X-Ray Diagnosis
by: Mottez, Clemence, et al.
Published: (2025)

Quality Assured: Rethinking Annotation Strategies in Imaging AI
by: Rädsch, Tim, et al.
Published: (2024)

Quantum Algorithm for Searching for the Longest Segment and the Largest Empty Rectangle
by: Khadiev, Kamil, et al.
Published: (2025)

A resource-efficient variational quantum algorithm for mRNA codon optimization
by: Zhang, Hongfeng, et al.
Published: (2024)

General Markovian randomized equilibrium existence and construction in zero-sum Dynkin games for diffusions
by: Christensen, Sören, et al.
Published: (2024)

Shadow Education Beyond Tutoring? New Forms of Private Supplementary Classes in Singapore
by: Søren Christensen, et al.
Published: (2025)

On the existence of Markovian randomized equilibria in Dynkin games of war-of-attrition-type
by: Christensen, Sören, et al.
Published: (2024)

Is Learning in Biological Neural Networks based on Stochastic Gradient Descent? An analysis using stochastic processes
by: Christensen, Sören, et al.
Published: (2023)