124 related articles for article (PubMed ID: 38108587)
1. Segmentation of lung nodules based on a refined segmentation network.
Chen Y; Hou X; Yang Y; Zhou Y; Xie Y; Nie S
Med Phys; 2024 Apr; 51(4):2759-2771. PubMed ID: 38108587
[TBL] [Abstract][Full Text] [Related]
2. Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
Wang Y; Zhou C; Chan HP; Hadjiiski LM; Chughtai A; Kazerooni EA
Med Phys; 2022 Nov; 49(11):7287-7302. PubMed ID: 35717560
[TBL] [Abstract][Full Text] [Related]
3. Design of lung nodules segmentation and recognition algorithm based on deep learning.
Yu H; Li J; Zhang L; Cao Y; Yu X; Sun J
BMC Bioinformatics; 2021 Nov; 22(Suppl 5):314. PubMed ID: 34749636
[TBL] [Abstract][Full Text] [Related]
4. Few-shot segmentation framework for lung nodules via an optimized active contour model.
Yang L; Shao D; Huang Z; Geng M; Zhang N; Chen L; Wang X; Liang D; Pang ZF; Hu Z
Med Phys; 2024 Apr; 51(4):2788-2805. PubMed ID: 38189528
[TBL] [Abstract][Full Text] [Related]
5. Efficient multiscale fully convolutional UNet model for segmentation of 3D lung nodule from CT image.
Agnes SA; Anitha J
J Med Imaging (Bellingham); 2022 Sep; 9(5):052402. PubMed ID: 35573467
[No Abstract] [Full Text] [Related]
6. Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation.
Dong X; Xu S; Liu Y; Wang A; Saripan MI; Li L; Zhang X; Lu L
Cancer Imaging; 2020 Aug; 20(1):53. PubMed ID: 32738913
[TBL] [Abstract][Full Text] [Related]
7. Construction of U-Net++ pulmonary nodule intelligent analysis model based on feature weighted aggregation.
Yang D; Du J; Liu K; Sui Y; Wang J; Gai X
Technol Health Care; 2023; 31(S1):477-486. PubMed ID: 37066943
[TBL] [Abstract][Full Text] [Related]
8. Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation.
Wang S; Zhou M; Liu Z; Liu Z; Gu D; Zang Y; Dong D; Gevaert O; Tian J
Med Image Anal; 2017 Aug; 40():172-183. PubMed ID: 28688283
[TBL] [Abstract][Full Text] [Related]
9.
Usman M; Shin YG
Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850583
[TBL] [Abstract][Full Text] [Related]
10. A deep learning-based framework (Co-ReTr) for auto-segmentation of non-small cell-lung cancer in computed tomography images.
Kunkyab T; Bahrami Z; Zhang H; Liu Z; Hyde D
J Appl Clin Med Phys; 2024 Mar; 25(3):e14297. PubMed ID: 38373289
[TBL] [Abstract][Full Text] [Related]
11. [A deep learning-based lung nodule density classification and segmentation method and its effectiveness under different CT reconstruction algorithms].
Meng XL; Xing ZJ; Lu S
Zhonghua Yi Xue Za Zhi; 2021 Feb; 101(7):476-480. PubMed ID: 33631891
[No Abstract] [Full Text] [Related]
12. MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentation.
Chen G; Tan G; Duan M; Pu B; Luo H; Li S; Li K
Comput Biol Med; 2024 Feb; 169():107898. PubMed ID: 38176210
[TBL] [Abstract][Full Text] [Related]
13. Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network.
Kido S; Kidera S; Hirano Y; Mabu S; Kamiya T; Tanaka N; Suzuki Y; Yanagawa M; Tomiyama N
Front Artif Intell; 2022; 5():782225. PubMed ID: 35252849
[TBL] [Abstract][Full Text] [Related]
14. Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models.
Cascio D; Magro R; Fauci F; Iacomi M; Raso G
Comput Biol Med; 2012 Nov; 42(11):1098-109. PubMed ID: 23020972
[TBL] [Abstract][Full Text] [Related]
15. Appraisal of Deep-Learning Techniques on Computer-Aided Lung Cancer Diagnosis with Computed Tomography Screening.
Agnes SA; Anitha J
J Med Phys; 2020; 45(2):98-106. PubMed ID: 32831492
[TBL] [Abstract][Full Text] [Related]
16. Robust explanation supervision for false positive reduction in pulmonary nodule detection.
Zhao Q; Chang CW; Yang X; Zhao L
Med Phys; 2024 Mar; 51(3):1687-1701. PubMed ID: 38224306
[TBL] [Abstract][Full Text] [Related]
17. A Novel Pulmonary Nodule Detection Model Based on Multi-Step Cascaded Networks.
Chi J; Zhang S; Yu X; Wu C; Jiang Y
Sensors (Basel); 2020 Aug; 20(15):. PubMed ID: 32752225
[TBL] [Abstract][Full Text] [Related]
18. Pulmonary nodule segmentation with CT sample synthesis using adversarial networks.
Qin Y; Zheng H; Huang X; Yang J; Zhu YM
Med Phys; 2019 Mar; 46(3):1218-1229. PubMed ID: 30575046
[TBL] [Abstract][Full Text] [Related]
19. An improved V-Net lung nodule segmentation model based on pixel threshold separation and attention mechanism.
Ma X; Song H; Jia X; Wang Z
Sci Rep; 2024 Feb; 14(1):4743. PubMed ID: 38413699
[TBL] [Abstract][Full Text] [Related]
20. Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation.
Singadkar G; Mahajan A; Thakur M; Talbar S
J Digit Imaging; 2020 Jun; 33(3):678-684. PubMed ID: 32026218
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]