135 related articles for article (PubMed ID: 34040275)
1. Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection.
Remedios SW; Wu Z; Bermudez C; Kerley CI; Roy S; Patel MB; Butman JA; Landman BA; Pham DL
Proc SPIE Int Soc Opt Eng; 2020; 11313():. PubMed ID: 34040275
[TBL] [Abstract][Full Text] [Related]
2. Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection.
López-Pérez M; Schmidt A; Wu Y; Molina R; Katsaggelos AK
Comput Methods Programs Biomed; 2022 Jun; 219():106783. PubMed ID: 35390723
[TBL] [Abstract][Full Text] [Related]
3. IDA-MIL: Classification of Glomerular with Spike-like Projections via Multiple Instance Learning with Instance-level Data Augmentation.
Wu X; Chen Y; Li X; Liu X; Liu Y; Wu Y; Li M; Zhou X; Wang C
Comput Methods Programs Biomed; 2022 Oct; 225():107106. PubMed ID: 36088891
[TBL] [Abstract][Full Text] [Related]
4. A Transfer Learning-Based Multi-Instance Learning Method With Weak Labels.
Xiao Y; Liang F; Liu B
IEEE Trans Cybern; 2022 Jan; 52(1):287-300. PubMed ID: 32149707
[TBL] [Abstract][Full Text] [Related]
5. UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.
Wang X; Tang F; Chen H; Luo L; Tang Z; Ran AR; Cheung CY; Heng PA
IEEE J Biomed Health Inform; 2020 Dec; 24(12):3431-3442. PubMed ID: 32248132
[TBL] [Abstract][Full Text] [Related]
6. A similarity-based classification framework for multiple-instance learning.
Xiao Y; Liu B; Hao Z; Cao L
IEEE Trans Cybern; 2014 Apr; 44(4):500-15. PubMed ID: 23757564
[TBL] [Abstract][Full Text] [Related]
7. Convex formulation of multiple instance learning from positive and unlabeled bags.
Bao H; Sakai T; Sato I; Sugiyama M
Neural Netw; 2018 Sep; 105():132-141. PubMed ID: 29804041
[TBL] [Abstract][Full Text] [Related]
8. Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning.
Li B; Li Y; Eliceiri KW
Conf Comput Vis Pattern Recognit Workshops; 2021 Jun; 2021():14318-14328. PubMed ID: 35047230
[TBL] [Abstract][Full Text] [Related]
9. A Sphere-Description-Based Approach for Multiple-Instance Learning.
Xiao Y; Liu B; Hao Z
IEEE Trans Pattern Anal Mach Intell; 2017 Feb; 39(2):242-257. PubMed ID: 26978553
[TBL] [Abstract][Full Text] [Related]
10. Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
Wang X; Tang F; Chen H; Cheung CY; Heng PA
Med Image Anal; 2023 Jan; 83():102673. PubMed ID: 36403310
[TBL] [Abstract][Full Text] [Related]
11. Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.
Zhou X; Takayama R; Wang S; Hara T; Fujita H
Med Phys; 2017 Oct; 44(10):5221-5233. PubMed ID: 28730602
[TBL] [Abstract][Full Text] [Related]
12. DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images.
Qi S; Xu C; Li C; Tian B; Xia S; Ren J; Yang L; Wang H; Yu H
Comput Methods Programs Biomed; 2021 Nov; 211():106406. PubMed ID: 34536634
[TBL] [Abstract][Full Text] [Related]
13. MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification.
Zhu Z; Yu L; Wu W; Yu R; Zhang D; Wang L
IEEE Trans Med Imaging; 2023 May; 42(5):1337-1348. PubMed ID: 37015475
[TBL] [Abstract][Full Text] [Related]
14. Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning.
Meng Y; Bridge J; Addison C; Wang M; Merritt C; Franks S; Mackey M; Messenger S; Sun R; Fitzmaurice T; McCann C; Li Q; Zhao Y; Zheng Y
Med Image Anal; 2023 Feb; 84():102722. PubMed ID: 36574737
[TBL] [Abstract][Full Text] [Related]
15. Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning.
Han Z; Wei B; Hong Y; Li T; Cong J; Zhu X; Wei H; Zhang W
IEEE Trans Med Imaging; 2020 Aug; 39(8):2584-2594. PubMed ID: 32730211
[TBL] [Abstract][Full Text] [Related]
16. Examination-Level Supervision for Deep Learning-based Intracranial Hemorrhage Detection on Head CT Scans.
Teneggi J; Yi PH; Sulam J
Radiol Artif Intell; 2024 Jan; 6(1):e230159. PubMed ID: 38294324
[TBL] [Abstract][Full Text] [Related]
17. Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems.
Carbonneau MA; Granger E; Gagnon G
IEEE Trans Neural Netw Learn Syst; 2019 May; 30(5):1441-1451. PubMed ID: 30281492
[TBL] [Abstract][Full Text] [Related]
18. 3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration.
Bitarafan A; Nikdan M; Baghshah MS
IEEE J Biomed Health Inform; 2021 Jul; 25(7):2665-2672. PubMed ID: 33211667
[TBL] [Abstract][Full Text] [Related]
19. Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification.
Liu P; Ji L; Zhang X; Ye F
IEEE Trans Med Imaging; 2024 May; 43(5):1841-1852. PubMed ID: 38194395
[TBL] [Abstract][Full Text] [Related]
20. MILES: multiple-instance learning via embedded instance selection.
Chen Y; Bi J; Wang JZ
IEEE Trans Pattern Anal Mach Intell; 2006 Dec; 28(12):1931-47. PubMed ID: 17108368
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
