Uncertainty-based method for improving poorly labeled segmentation datasets

16 February 2021

Papers citing "Uncertainty-based method for improving poorly labeled segmentation datasets"

5 / 5 papers shown

Title
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 46 20 0 09 Oct 2023
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 34 80 0 05 Oct 2022
A Survey on Deep Learning for Skin Lesion Segmentation Z. Mirikharaji Kumar Abhishek Alceu Bissoto Catarina Barata Sandra Avila Eduardo Valle M. Celebi Ghassan Hamarneh 52 82 0 01 Jun 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015