160 related articles for article (PubMed ID: 34679504)
1. Two-Stage Liver and Tumor Segmentation Algorithm Based on Convolutional Neural Network.
Meng L; Zhang Q; Bu S
Diagnostics (Basel); 2021 Sep; 11(10):. PubMed ID: 34679504
[TBL] [Abstract][Full Text] [Related]
2. Liver tumor segmentation based on 3D convolutional neural network with dual scale.
Meng L; Tian Y; Bu S
J Appl Clin Med Phys; 2020 Jan; 21(1):144-157. PubMed ID: 31793212
[TBL] [Abstract][Full Text] [Related]
3. SADSNet: A robust 3D synchronous segmentation network for liver and liver tumors based on spatial attention mechanism and deep supervision.
Yang S; Liang Y; Wu S; Sun P; Chen Z
J Xray Sci Technol; 2024; 32(3):707-723. PubMed ID: 38552134
[TBL] [Abstract][Full Text] [Related]
4. HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.
Kushnure DT; Talbar SN
Comput Methods Programs Biomed; 2022 Jan; 213():106501. PubMed ID: 34752959
[TBL] [Abstract][Full Text] [Related]
5. Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images.
Liu T; Liu J; Ma Y; He J; Han J; Ding X; Chen CT
Med Phys; 2021 Jan; 48(1):264-272. PubMed ID: 33159809
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. PA-ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images.
Xu Y; Cai M; Lin L; Zhang Y; Hu H; Peng Z; Zhang Q; Chen Q; Mao X; Iwamoto Y; Han XH; Chen YW; Tong R
Med Phys; 2021 Jul; 48(7):3752-3766. PubMed ID: 33950526
[TBL] [Abstract][Full Text] [Related]
8. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
Ibragimov B; Xing L
Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
[TBL] [Abstract][Full Text] [Related]
9. Improving automatic segmentation of liver tumor images using a deep learning model.
Song Z; Wu H; Chen W; Slowik A
Heliyon; 2024 Apr; 10(7):e28538. PubMed ID: 38571625
[TBL] [Abstract][Full Text] [Related]
10. Adaptive Attention Convolutional Neural Network for Liver Tumor Segmentation.
Luan S; Xue X; Ding Y; Wei W; Zhu B
Front Oncol; 2021; 11():680807. PubMed ID: 34434891
[TBL] [Abstract][Full Text] [Related]
11. 3D IFPN: Improved Feature Pyramid Network for Automatic Segmentation of Gastric Tumor.
Li H; Liu B; Zhang Y; Fu C; Han X; Du L; Gao W; Chen Y; Liu X; Wang Y; Wang T; Ma G; Lei B
Front Oncol; 2021; 11():618496. PubMed ID: 34094903
[TBL] [Abstract][Full Text] [Related]
12. Decoupled pyramid correlation network for liver tumor segmentation from CT images.
Zhang Y; Yang J; Liu Y; Tian J; Wang S; Zhong C; Shi Z; Zhang Y; He Z
Med Phys; 2022 Nov; 49(11):7207-7221. PubMed ID: 35620834
[TBL] [Abstract][Full Text] [Related]
13. Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.
Hu P; Wu F; Peng J; Bao Y; Chen F; Kong D
Int J Comput Assist Radiol Surg; 2017 Mar; 12(3):399-411. PubMed ID: 27885540
[TBL] [Abstract][Full Text] [Related]
14. Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.
Wang Y; Zhou Y; Shen W; Park S; Fishman EK; Yuille AL
Med Image Anal; 2019 Jul; 55():88-102. PubMed ID: 31035060
[TBL] [Abstract][Full Text] [Related]
15. Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images.
Zabihollahy F; White JA; Ukwatta E
Med Phys; 2019 Apr; 46(4):1740-1751. PubMed ID: 30734937
[TBL] [Abstract][Full Text] [Related]
16. Automatic liver segmentation by integrating fully convolutional networks into active contour models.
Guo X; Schwartz LH; Zhao B
Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688
[TBL] [Abstract][Full Text] [Related]
17. GC-Net: Global context network for medical image segmentation.
Ni J; Wu J; Tong J; Chen Z; Zhao J
Comput Methods Programs Biomed; 2020 Jul; 190():105121. PubMed ID: 31623863
[TBL] [Abstract][Full Text] [Related]
18. Octree Representation Improves Data Fidelity of Cardiac CT Images and Convolutional Neural Network Semantic Segmentation of Left Atrial and Ventricular Chambers.
Gupta K; Sekhar N; Vigneault DM; Scott AR; Colvert B; Craine A; Raghavan A; Contijoch FJ
Radiol Artif Intell; 2021 Nov; 3(6):e210036. PubMed ID: 34870221
[TBL] [Abstract][Full Text] [Related]
19. Hybrid dilation and attention residual U-Net for medical image segmentation.
Wang Z; Zou Y; Liu PX
Comput Biol Med; 2021 Jul; 134():104449. PubMed ID: 33993015
[TBL] [Abstract][Full Text] [Related]
20. Deeply self-supervised contour embedded neural network applied to liver segmentation.
Chung M; Lee J; Lee M; Lee J; Shin YG
Comput Methods Programs Biomed; 2020 Aug; 192():105447. PubMed ID: 32203792
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]