149 related articles for article (PubMed ID: 35809407)
1. Intelligent tuberculosis activity assessment system based on an ensemble of neural networks.
Sineglazov V; Riazanovskiy K; Klanovets A; Chumachenko E; Linnik N
Comput Biol Med; 2022 Aug; 147():105800. PubMed ID: 35809407
[TBL] [Abstract][Full Text] [Related]
2. Fully automatic deep learning-based lung parenchyma segmentation and boundary correction in thoracic CT scans.
Rikhari H; Baidya Kayal E; Ganguly S; Sasi A; Sharma S; Dheeksha DS; Saini M; Rangarajan K; Bakhshi S; Kandasamy D; Mehndiratta A
Int J Comput Assist Radiol Surg; 2024 Feb; 19(2):261-272. PubMed ID: 37594684
[TBL] [Abstract][Full Text] [Related]
3. Computer-aided detection and quantification of cavitary tuberculosis from CT scans.
Xu Z; Bagci U; Kubler A; Luna B; Jain S; Bishai WR; Mollura DJ
Med Phys; 2013 Nov; 40(11):113701. PubMed ID: 24320475
[TBL] [Abstract][Full Text] [Related]
4. An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.
Souza JC; Bandeira Diniz JO; Ferreira JL; França da Silva GL; Corrêa Silva A; de Paiva AC
Comput Methods Programs Biomed; 2019 Aug; 177():285-296. PubMed ID: 31319957
[TBL] [Abstract][Full Text] [Related]
5. Extracting Lungs from CT Images via Deep Convolutional Neural Network Based Segmentation and Two-Pass Contour Refinement.
Liu C; Pang M
J Digit Imaging; 2020 Dec; 33(6):1465-1478. PubMed ID: 33057882
[TBL] [Abstract][Full Text] [Related]
6. Computed Tomography Image under Convolutional Neural Network Deep Learning Algorithm in Pulmonary Nodule Detection and Lung Function Examination.
Zhang C; Li J; Huang J; Wu S
J Healthc Eng; 2021; 2021():3417285. PubMed ID: 34721823
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Medical Image Segmentation Algorithm Based on Feedback Mechanism CNN.
An FP; Liu ZW
Contrast Media Mol Imaging; 2019; 2019():6134942. PubMed ID: 31481851
[TBL] [Abstract][Full Text] [Related]
10. Automatic lung segmentation in CT images with accurate handling of the hilar region.
De Nunzio G; Tommasi E; Agrusti A; Cataldo R; De Mitri I; Favetta M; Maglio S; Massafra A; Quarta M; Torsello M; Zecca I; Bellotti R; Tangaro S; Calvini P; Camarlinghi N; Falaschi F; Cerello P; Oliva P
J Digit Imaging; 2011 Feb; 24(1):11-27. PubMed ID: 19826872
[TBL] [Abstract][Full Text] [Related]
11. Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.
Xu M; Qi S; Yue Y; Teng Y; Xu L; Yao Y; Qian W
Biomed Eng Online; 2019 Jan; 18(1):2. PubMed ID: 30602393
[TBL] [Abstract][Full Text] [Related]
12. Plant disease identification using contextual mask auto-encoder optimized with dynamic differential annealed optimization algorithm.
Prasannakumar M; Latha K
Microsc Res Tech; 2024 Mar; 87(3):484-494. PubMed ID: 37921010
[TBL] [Abstract][Full Text] [Related]
13. Automatic Liver Segmentation in CT Images with Enhanced GAN and Mask Region-Based CNN Architectures.
Wei X; Chen X; Lai C; Zhu Y; Yang H; Du Y
Biomed Res Int; 2021; 2021():9956983. PubMed ID: 34957310
[TBL] [Abstract][Full Text] [Related]
14. A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation.
Shi T; Jiang H; Zheng B
Comput Methods Programs Biomed; 2020 Dec; 197():105678. PubMed ID: 32791449
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. In-depth learning of automatic segmentation of shoulder joint magnetic resonance images based on convolutional neural networks.
Mu X; Cui Y; Bian R; Long L; Zhang D; Wang H; Shen Y; Wu J; Zou G
Comput Methods Programs Biomed; 2021 Nov; 211():106325. PubMed ID: 34536635
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.
Heutink F; Koch V; Verbist B; van der Woude WJ; Mylanus E; Huinck W; Sechopoulos I; Caballo M
Comput Methods Programs Biomed; 2020 Jul; 191():105387. PubMed ID: 32109685
[TBL] [Abstract][Full Text] [Related]
19. A 3D image segmentation for lung cancer using V.Net architecture based deep convolutional networks.
Mohammed KK; Hassanien AE; Afify HM
J Med Eng Technol; 2021 Jul; 45(5):337-343. PubMed ID: 33843414
[TBL] [Abstract][Full Text] [Related]
20. Optimizing parameters of an open-source airway segmentation algorithm using different CT images.
Nardelli P; Khan KA; Corvò A; Moore N; Murphy MJ; Twomey M; O'Connor OJ; Kennedy MP; Estépar RS; Maher MM; Cantillon-Murphy P
Biomed Eng Online; 2015 Jun; 14():62. PubMed ID: 26112975
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
