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An unobtrusive quality supervision approach for medical image annotation
v1v2 (latest)

An unobtrusive quality supervision approach for medical image annotation

11 November 2022
Sonja Kunzmann
Mathias Öttl
Prathmesh Madhu
Felix Denzinger
Andreas Maier
    DiffMMedIm
ArXiv (abs)PDFHTML

Papers citing "An unobtrusive quality supervision approach for medical image annotation"

2 / 2 papers shown
Title
Evaluating Self-Supervised Learning in Medical Imaging: A Benchmark for Robustness, Generalizability, and Multi-Domain Impact
Evaluating Self-Supervised Learning in Medical Imaging: A Benchmark for Robustness, Generalizability, and Multi-Domain Impact
Valay Bundele
Karahan Sarıtaş
Bora Kargi
Oğuz Ata Çal
Kıvanç Tezören
Zohreh Ghaderi
Hendrik Lensch
OOD
180
5
0
26 Dec 2024
A Unified Framework for Generative Data Augmentation: A Comprehensive
  Survey
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
Yunhao Chen
Zihui Yan
Yunjie Zhu
214
4
0
30 Sep 2023
1