Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis

20 March 2022

Papers citing "Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis"

4 / 4 papers shown

Title
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations David Tschirschwitz Volker Rodehorst 28 1 0 14 Sep 2024
Active Policy Improvement from Multiple Black-box Oracles Xuefeng Liu Takuma Yoneda Chaoqi Wang Matthew R. Walter Yuxin Chen 33 8 0 17 Jun 2023
Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation Hieu H. Pham H. Nguyen Hieu T. Nguyen Linh T. Le K. Lam 34 1 0 01 Apr 2023
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 304 10,618 0 19 Feb 2017