734 related articles for article (PubMed ID: 32293303)
1. Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images.
Yang G; Wang C; Yang J; Chen Y; Tang L; Shao P; Dillenseger JL; Shu H; Luo L
BMC Med Imaging; 2020 Apr; 20(1):37. PubMed ID: 32293303
[TBL] [Abstract][Full Text] [Related]
2. Weakly Supervised Liver Tumor Segmentation Using Couinaud Segment Annotation.
Lyu F; Ma AJ; Yip TC; Wong GL; Yuen PC
IEEE Trans Med Imaging; 2022 May; 41(5):1138-1149. PubMed ID: 34871168
[TBL] [Abstract][Full Text] [Related]
3. Discretely-constrained deep network for weakly supervised segmentation.
Peng J; Kervadec H; Dolz J; Ben Ayed I; Pedersoli M; Desrosiers C
Neural Netw; 2020 Oct; 130():297-308. PubMed ID: 32721843
[TBL] [Abstract][Full Text] [Related]
4. Constrained-CNN losses for weakly supervised segmentation.
Kervadec H; Dolz J; Tang M; Granger E; Boykov Y; Ben Ayed I
Med Image Anal; 2019 May; 54():88-99. PubMed ID: 30851541
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
7. Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks.
Chen J; Li Y; Luna LP; Chung HW; Rowe SP; Du Y; Solnes LB; Frey EC
Med Phys; 2021 Jul; 48(7):3860-3877. PubMed ID: 33905560
[TBL] [Abstract][Full Text] [Related]
8. Weakly supervised mitosis detection in breast histopathology images using concentric loss.
Li C; Wang X; Liu W; Latecki LJ; Wang B; Huang J
Med Image Anal; 2019 Apr; 53():165-178. PubMed ID: 30798116
[TBL] [Abstract][Full Text] [Related]
9. Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation.
Zhang B; Xiao J; Jiao J; Wei Y; Zhao Y
IEEE Trans Pattern Anal Mach Intell; 2022 Nov; 44(11):8082-8096. PubMed ID: 34033532
[TBL] [Abstract][Full Text] [Related]
10. Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.
Qu H; Wu P; Huang Q; Yi J; Yan Z; Li K; Riedlinger GM; De S; Zhang S; Metaxas DN
IEEE Trans Med Imaging; 2020 Nov; 39(11):3655-3666. PubMed ID: 32746112
[TBL] [Abstract][Full Text] [Related]
11. Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images.
Zhang J; Hua Z; Yan K; Tian K; Yao J; Liu E; Liu M; Han X
Med Image Anal; 2021 Oct; 73():102183. PubMed ID: 34340108
[TBL] [Abstract][Full Text] [Related]
12. Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.
He Y; Yang G; Yang J; Chen Y; Kong Y; Wu J; Tang L; Zhu X; Dillenseger JL; Shao P; Zhang S; Shu H; Coatrieux JL; Li S
Med Image Anal; 2020 Jul; 63():101722. PubMed ID: 32434127
[TBL] [Abstract][Full Text] [Related]
13. Fast interactive medical image segmentation with weakly supervised deep learning method.
Girum KB; Créhange G; Hussain R; Lalande A
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1437-1444. PubMed ID: 32653985
[TBL] [Abstract][Full Text] [Related]
14. Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images.
Li Z; Xia Y
IEEE J Biomed Health Inform; 2021 Mar; 25(3):774-783. PubMed ID: 32749988
[TBL] [Abstract][Full Text] [Related]
15. Segmentation of paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography images through weakly supervised deep convolutional networks.
Zhang T; Wei Q; Li Z; Meng W; Zhang M; Zhang Z
Comput Methods Programs Biomed; 2023 Oct; 240():107632. PubMed ID: 37329802
[TBL] [Abstract][Full Text] [Related]
16. MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images.
Sebai M; Wang X; Wang T
Med Biol Eng Comput; 2020 Jul; 58(7):1603-1623. PubMed ID: 32445109
[TBL] [Abstract][Full Text] [Related]
17. Automated vessel segmentation in lung CT and CTA images via deep neural networks.
Tan W; Zhou L; Li X; Yang X; Chen Y; Yang J
J Xray Sci Technol; 2021; 29(6):1123-1137. PubMed ID: 34421004
[TBL] [Abstract][Full Text] [Related]
18. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
Tong N; Gou S; Yang S; Cao M; Sheng K
Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
[TBL] [Abstract][Full Text] [Related]
19. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
Burton W; Myers C; Rullkoetter P
Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
[TBL] [Abstract][Full Text] [Related]
20. Point based weakly semi-supervised biomarker detection with cross-scale and label assignment in retinal OCT images.
Liu X; Zhu X; Zhang Y; Wang M
Comput Methods Programs Biomed; 2024 Jun; 251():108229. PubMed ID: 38761413
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
