Using Soft Labels to Model Uncertainty in Medical Image Segmentation

26 September 2021

Papers citing "Using Soft Labels to Model Uncertainty in Medical Image Segmentation"

15 / 15 papers shown

Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 89 1 0 25 Nov 2024
Image-level Regression for Uncertainty-aware Retinal Image Segmentation Trung Dang Huy Hoang Nguyen A. Tiulpin UQCV 41 0 0 27 May 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 33 11 0 16 Apr 2024
Towards Efficient and Accurate CT Segmentation via Edge-Preserving Probabilistic Downsampling Shahzad Ali Y. Lee S. Park Won Young Tak Soon Ki Jung 32 0 0 05 Apr 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 33 20 0 09 Oct 2023
Can ultrasound confidence maps predict sonographers' labeling variability? Vanessa Gonzalez Duque Leonhard Zirus Yordanka Velikova Nassir Navab Diana Mateus 9 0 0 18 Aug 2023
Marginal Thresholding in Noisy Image Segmentation M. Nordström Henrik Hult A. Maki NoLa 14 0 0 08 Apr 2023
Noisy Image Segmentation With Soft-Dice M. Nordström Henrik Hult A. Maki F. Löfman 31 2 0 03 Apr 2023
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels Zifu Wang Teodora Popordanoska J. Bertels Robin Lemmens Matthew B. Blaschko 24 10 0 28 Mar 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 26 76 0 05 Oct 2022
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss B. Felfeliyan A. Hareendranathan G. Kuntze S. Wichuk Nils D. Forkert Jacob L. Jaremko J. Ronsky NoLa 31 2 0 16 Sep 2022
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice M. Nordström Henrik Hult J. Söderberg F. Löfman 16 6 0 13 Jun 2022
Label fusion and training methods for reliable representation of inter-rater uncertainty A. Lemay C. Gros Enamundram Naga Karthik Julien Cohen-Adad 22 12 0 15 Feb 2022
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016