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The Dice loss in the context of missing or empty labels: Introducing
  $Φ$ and $ε$
v1v2 (latest)

The Dice loss in the context of missing or empty labels: Introducing ΦΦΦ and εεε

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
19 July 2022
Sofie Tilborghs
J. Bertels
D. Robben
Dirk Vandermeulen
F. Maes
ArXiv (abs)PDFHTML

Papers citing "The Dice loss in the context of missing or empty labels: Introducing $Φ$ and $ε$"

4 / 4 papers shown
Compositional Generalisation for Explainable Hate Speech Detection
Compositional Generalisation for Explainable Hate Speech Detection
Agostina Calabrese
Tom Sherborne
Bjorn Ross
Mirella Lapata
330
1
0
04 Jun 2025
A label-free and data-free training strategy for vasculature
  segmentation in serial sectioning OCT data
A label-free and data-free training strategy for vasculature segmentation in serial sectioning OCT data
Etienne Chollet
Yael Balbastre
C. Magnain
Bruce Fischl
Hui Wang
276
2
0
22 May 2024
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
Dice Semimetric Losses: Optimizing the Dice Score with Soft LabelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Zifu Wang
Teodora Popordanoska
J. Bertels
Robin Lemmens
Matthew B. Blaschko
227
26
0
28 Mar 2023
HALOS: Hallucination-free Organ Segmentation after Organ Resection
  Surgery
HALOS: Hallucination-free Organ Segmentation after Organ Resection SurgeryInformation Processing in Medical Imaging (IPMI), 2023
Anne-Marie Rickmann
Murong Xu
Tom Nuno Wolf
Oksana P. Kovalenko
Christian Wachinger
SSeg
261
5
0
14 Mar 2023
1
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