Superpixel-Guided Label Softening for Medical Image Segmentation

17 July 2020

Papers citing "Superpixel-Guided Label Softening for Medical Image Segmentation"

7 / 7 papers shown

Title
Towards Efficient and Accurate CT Segmentation via Edge-Preserving Probabilistic Downsampling Shahzad Ali Y. Lee S. Park Won Young Tak Soon Ki Jung 51 0 0 05 Apr 2024
Marginal Thresholding in Noisy Image Segmentation M. Nordström Henrik Hult A. Maki NoLa 24 0 0 08 Apr 2023
Noisy Image Segmentation With Soft-Dice M. Nordström Henrik Hult A. Maki F. Löfman 42 2 0 03 Apr 2023
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 46 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 29 6 0 13 Jun 2022
SoftSeg: Advantages of soft versus binary training for image segmentation C. Gros A. Lemay Julien Cohen-Adad 38 71 0 18 Nov 2020
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 235 2,059 0 07 Jun 2016