181 related articles for article (PubMed ID: 34995185)
21. A survey of label-noise deep learning for medical image analysis.
Shi J; Zhang K; Guo C; Yang Y; Xu Y; Wu J
Med Image Anal; 2024 Jul; 95():103166. PubMed ID: 38613918
[TBL] [Abstract][Full Text] [Related]
22. Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.
Abdar M; Samami M; Dehghani Mahmoodabad S; Doan T; Mazoure B; Hashemifesharaki R; Liu L; Khosravi A; Acharya UR; Makarenkov V; Nahavandi S
Comput Biol Med; 2021 Aug; 135():104418. PubMed ID: 34052016
[TBL] [Abstract][Full Text] [Related]
23. S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
Liu L; Zhang Z; Li S; Ma K; Zheng Y
Med Image Anal; 2021 Dec; 74():102214. PubMed ID: 34464837
[TBL] [Abstract][Full Text] [Related]
24. Co-Learning Meets Stitch-Up for Noisy Multi-Label Visual Recognition.
Liang C; Yang Z; Zhu L; Yang Y
IEEE Trans Image Process; 2023; 32():2508-2519. PubMed ID: 37115833
[TBL] [Abstract][Full Text] [Related]
25. Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels.
Petit O; Thome N; Soler L
Comput Med Imaging Graph; 2021 Jul; 91():101938. PubMed ID: 34153879
[TBL] [Abstract][Full Text] [Related]
26. Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment.
Gündel S; Setio AAA; Ghesu FC; Grbic S; Georgescu B; Maier A; Comaniciu D
Med Image Anal; 2021 Aug; 72():102087. PubMed ID: 34015595
[TBL] [Abstract][Full Text] [Related]
27. Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation.
Li H; Nan Y; Del Ser J; Yang G
Neural Comput Appl; 2023; 35(30):22071-22085. PubMed ID: 37724130
[TBL] [Abstract][Full Text] [Related]
28. Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification.
Aksoy AK; Ravanbakhsh M; Demir B
IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):6438-6451. PubMed ID: 36264722
[TBL] [Abstract][Full Text] [Related]
29. Deep learning with noisy labels in medical prediction problems: a scoping review.
Wei Y; Deng Y; Sun C; Lin M; Jiang H; Peng Y
J Am Med Inform Assoc; 2024 Jun; 31(7):1596-1607. PubMed ID: 38814164
[TBL] [Abstract][Full Text] [Related]
30. Collaborative Refining for Person Re-Identification With Label Noise.
Ye M; Li H; Du B; Shen J; Shao L; Hoi SCH
IEEE Trans Image Process; 2022; 31():379-391. PubMed ID: 34874857
[TBL] [Abstract][Full Text] [Related]
31. Uncertainty Estimation in Medical Image Classification: Systematic Review.
Kurz A; Hauser K; Mehrtens HA; Krieghoff-Henning E; Hekler A; Kather JN; Fröhling S; von Kalle C; Brinker TJ
JMIR Med Inform; 2022 Aug; 10(8):e36427. PubMed ID: 35916701
[TBL] [Abstract][Full Text] [Related]
32. Active label cleaning for improved dataset quality under resource constraints.
Bernhardt M; Castro DC; Tanno R; Schwaighofer A; Tezcan KC; Monteiro M; Bannur S; Lungren MP; Nori A; Glocker B; Alvarez-Valle J; Oktay O
Nat Commun; 2022 Mar; 13(1):1161. PubMed ID: 35246539
[TBL] [Abstract][Full Text] [Related]
33. Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning.
Nomura Y; Tanaka S; Wang J; Shirato H; Shimizu S; Xing L
Phys Med Biol; 2021 Mar; 66(6):065029. PubMed ID: 33626513
[TBL] [Abstract][Full Text] [Related]
34. On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment.
Liao Z; Girgis H; Abdi A; Vaseli H; Hetherington J; Rohling R; Gin K; Tsang T; Abolmaesumi P
IEEE Trans Med Imaging; 2020 Jun; 39(6):1868-1883. PubMed ID: 31841401
[TBL] [Abstract][Full Text] [Related]
35. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Marini N; Otálora S; Müller H; Atzori M
Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
[TBL] [Abstract][Full Text] [Related]
36. On Robustness of Neural Architecture Search Under Label Noise.
Chen YW; Song Q; Liu X; Sastry PS; Hu X
Front Big Data; 2020; 3():2. PubMed ID: 33693377
[TBL] [Abstract][Full Text] [Related]
37. RCoNet: Deformable Mutual Information Maximization and High-Order Uncertainty-Aware Learning for Robust COVID-19 Detection.
Dong S; Yang Q; Fu Y; Tian M; Zhuo C
IEEE Trans Neural Netw Learn Syst; 2021 Aug; 32(8):3401-3411. PubMed ID: 34143745
[TBL] [Abstract][Full Text] [Related]
38. Quantifying uncertainty in machine learning classifiers for medical imaging.
Valen J; Balki I; Mendez M; Qu W; Levman J; Bilbily A; Tyrrell PN
Int J Comput Assist Radiol Surg; 2022 Apr; 17(4):711-718. PubMed ID: 35278156
[TBL] [Abstract][Full Text] [Related]
39. Weakly Supervised Solar Panel Mapping via Uncertainty Adjusted Label Transition in Aerial Images.
Zhang J; Jia X; Zhou J; Zhang J; Hu J
IEEE Trans Image Process; 2024; 33():881-896. PubMed ID: 38064328
[TBL] [Abstract][Full Text] [Related]
40. Empirical validation of Conformal Prediction for trustworthy skin lesions classification.
Fayyad J; Alijani S; Najjaran H
Comput Methods Programs Biomed; 2024 Aug; 253():108231. PubMed ID: 38820714
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
