165 related articles for article (PubMed ID: 32746129)
1. Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.
Mehrtash A; Wells WM; Tempany CM; Abolmaesumi P; Kapur T
IEEE Trans Med Imaging; 2020 Dec; 39(12):3868-3878. PubMed ID: 32746129
[TBL] [Abstract][Full Text] [Related]
2. Can uncertainty estimation predict segmentation performance in ultrasound bone imaging?
Pandey PU; Guy P; Hodgson AJ
Int J Comput Assist Radiol Surg; 2022 May; 17(5):825-832. PubMed ID: 35377036
[TBL] [Abstract][Full Text] [Related]
3. Calibrating segmentation networks with margin-based label smoothing.
Murugesan B; Liu B; Galdran A; Ayed IB; Dolz J
Med Image Anal; 2023 Jul; 87():102826. PubMed ID: 37146441
[TBL] [Abstract][Full Text] [Related]
4. Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip.
Kannan A; Hodgson A; Mulpuri K; Garbi R
Int J Comput Assist Radiol Surg; 2021 Jul; 16(7):1121-1129. PubMed ID: 33966168
[TBL] [Abstract][Full Text] [Related]
5. Sparse annotation learning for dense volumetric MR image segmentation with uncertainty estimation.
Osman YBM; Li C; Huang W; Wang S
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38035374
[No Abstract] [Full Text] [Related]
6. Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy.
Sanders JW; Lewis GD; Thames HD; Kudchadker RJ; Venkatesan AM; Bruno TL; Ma J; Pagel MD; Frank SJ
Int J Radiat Oncol Biol Phys; 2020 Dec; 108(5):1292-1303. PubMed ID: 32634543
[TBL] [Abstract][Full Text] [Related]
7. Learning to segment subcortical structures from noisy annotations with a novel uncertainty-reliability aware learning framework.
Li X; Wei Y; Hu Q; Wang C; Yang J
Comput Biol Med; 2022 Dec; 151(Pt B):106326. PubMed ID: 36442274
[TBL] [Abstract][Full Text] [Related]
8. Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation.
Yeung M; Sala E; Schönlieb CB; Rundo L
Comput Med Imaging Graph; 2022 Jan; 95():102026. PubMed ID: 34953431
[TBL] [Abstract][Full Text] [Related]
9. Label cleaning and propagation for improved segmentation performance using fully convolutional networks.
Sugino T; Suzuki Y; Kin T; Saito N; Onogi S; Kawase T; Mori K; Nakajima Y
Int J Comput Assist Radiol Surg; 2021 Mar; 16(3):349-361. PubMed ID: 33655468
[TBL] [Abstract][Full Text] [Related]
10. Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations.
Karimi D; Warfield SK; Gholipour A
Artif Intell Med; 2021 Jun; 116():102078. PubMed ID: 34020754
[TBL] [Abstract][Full Text] [Related]
11. Uncertainty-guided cross learning via CNN and transformer for semi-supervised honeycomb lung lesion segmentation.
Zi-An Z; Xiu-Fang F; Xiao-Qiang R; Yun-Yun D
Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37988756
[No Abstract] [Full Text] [Related]
12. Self-paced and self-consistent co-training for semi-supervised image segmentation.
Wang P; Peng J; Pedersoli M; Zhou Y; Zhang C; Desrosiers C
Med Image Anal; 2021 Oct; 73():102146. PubMed ID: 34274692
[TBL] [Abstract][Full Text] [Related]
13. Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks.
Wang G; Li W; Aertsen M; Deprest J; Ourselin S; Vercauteren T
Neurocomputing (Amst); 2019 Sep; 335():34-45. PubMed ID: 31595105
[TBL] [Abstract][Full Text] [Related]
14. Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty.
Bertels J; Robben D; Vandermeulen D; Suetens P
Med Image Anal; 2021 Jan; 67():101833. PubMed ID: 33075643
[TBL] [Abstract][Full Text] [Related]
15. Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation.
Cao X; Chen H; Li Y; Peng Y; Wang S; Cheng L
IEEE Trans Med Imaging; 2021 Jan; 40(1):431-443. PubMed ID: 33021936
[TBL] [Abstract][Full Text] [Related]
16. Quantifying U-Net uncertainty in multi-parametric MRI-based glioma segmentation by spherical image projection.
Yang Z; Lafata K; Vaios E; Hu Z; Mullikin T; Yin FF; Wang C
Med Phys; 2024 Mar; 51(3):1931-1943. PubMed ID: 37696029
[TBL] [Abstract][Full Text] [Related]
17. Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.
Yeung M; Rundo L; Nan Y; Sala E; Schönlieb CB; Yang G
J Digit Imaging; 2023 Apr; 36(2):739-752. PubMed ID: 36474089
[TBL] [Abstract][Full Text] [Related]
18. Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images.
Jian J; Xiong F; Xia W; Zhang R; Gu J; Wu X; Meng X; Gao X
Australas Phys Eng Sci Med; 2018 Jun; 41(2):393-401. PubMed ID: 29654521
[TBL] [Abstract][Full Text] [Related]
19. A 3D image segmentation for lung cancer using V.Net architecture based deep convolutional networks.
Mohammed KK; Hassanien AE; Afify HM
J Med Eng Technol; 2021 Jul; 45(5):337-343. PubMed ID: 33843414
[TBL] [Abstract][Full Text] [Related]
20. Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation.
Cangalovic VS; Thielke F; Meine H
Int J Comput Assist Radiol Surg; 2024 Feb; 19(2):253-260. PubMed ID: 37584850
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
