141 related articles for article (PubMed ID: 34023696)
1. MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons.
Bandyk MG; Gopireddy DR; Lall C; Balaji KC; Dolz J
Comput Biol Med; 2021 Jul; 134():104472. PubMed ID: 34023696
[TBL] [Abstract][Full Text] [Related]
2. Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.
Dolz J; Xu X; Rony J; Yuan J; Liu Y; Granger E; Desrosiers C; Zhang X; Ben Ayed I; Lu H
Med Phys; 2018 Dec; 45(12):5482-5493. PubMed ID: 30328624
[TBL] [Abstract][Full Text] [Related]
3. U-Net based deep learning bladder segmentation in CT urography.
Ma X; Hadjiiski LM; Wei J; Chan HP; Cha KH; Cohan RH; Caoili EM; Samala R; Zhou C; Lu Y
Med Phys; 2019 Apr; 46(4):1752-1765. PubMed ID: 30734932
[TBL] [Abstract][Full Text] [Related]
4. Deep-learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography.
Gordon MN; Hadjiiski LM; Cha KH; Samala RK; Chan HP; Cohan RH; Caoili EM
Med Phys; 2019 Feb; 46(2):634-648. PubMed ID: 30520055
[TBL] [Abstract][Full Text] [Related]
5. Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.
Cha KH; Hadjiiski L; Samala RK; Chan HP; Caoili EM; Cohan RH
Med Phys; 2016 Apr; 43(4):1882. PubMed ID: 27036584
[TBL] [Abstract][Full Text] [Related]
6. Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN.
Xu X; Zhou F; Liu B
Int J Comput Assist Radiol Surg; 2018 Jul; 13(7):967-975. PubMed ID: 29556905
[TBL] [Abstract][Full Text] [Related]
7. Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data.
Gsaxner C; Roth PM; Wallner J; Egger J
PLoS One; 2019; 14(3):e0212550. PubMed ID: 30835746
[TBL] [Abstract][Full Text] [Related]
8. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
9. Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches.
Zhou X
Adv Exp Med Biol; 2020; 1213():135-147. PubMed ID: 32030668
[TBL] [Abstract][Full Text] [Related]
10. [Research on brain image segmentation based on deep learning].
Wang Y; Zhao Z
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Aug; 37(4):721-729. PubMed ID: 32840091
[TBL] [Abstract][Full Text] [Related]
11. A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.
Bevilacqua V; Brunetti A; Cascarano GD; Guerriero A; Pesce F; Moschetta M; Gesualdo L
BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 9):244. PubMed ID: 31830973
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Deep learning for histopathological segmentation of smooth muscle in the urinary bladder.
Subramanya SK; Li R; Wang Y; Miyamoto H; Cui F
BMC Med Inform Decis Mak; 2023 Jul; 23(1):122. PubMed ID: 37454065
[TBL] [Abstract][Full Text] [Related]
14. Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning.
Ataloglou D; Dimou A; Zarpalas D; Daras P
Neuroinformatics; 2019 Oct; 17(4):563-582. PubMed ID: 30877605
[TBL] [Abstract][Full Text] [Related]
15. Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation.
Yue X; Huang X; Xu Z; Chen Y; Xu C
Med Image Anal; 2024 Jul; 95():103189. PubMed ID: 38776840
[TBL] [Abstract][Full Text] [Related]
16. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
[TBL] [Abstract][Full Text] [Related]
17. Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images.
Pei L; Vidyaratne L; Rahman MM; Iftekharuddin KM
Sci Rep; 2020 Nov; 10(1):19726. PubMed ID: 33184301
[TBL] [Abstract][Full Text] [Related]
18. Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks.
Men K; Dai J; Li Y
Med Phys; 2017 Dec; 44(12):6377-6389. PubMed ID: 28963779
[TBL] [Abstract][Full Text] [Related]
19. Bladder Wall Segmentation in MRI Images via Deep Learning and Anatomical Constraints.
Li R; Chen H; Gong G; Wang L
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1629-1632. PubMed ID: 33018307
[TBL] [Abstract][Full Text] [Related]
20. DENSE-INception U-net for medical image segmentation.
Zhang Z; Wu C; Coleman S; Kerr D
Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
