136 related articles for article (PubMed ID: 36630071)
1. Lymph node detection in CT scans using modified U-Net with residual learning and 3D deep network.
Manjunatha Y; Sharma V; Iwahori Y; Bhuyan MK; Wang A; Ouchi A; Shimizu Y
Int J Comput Assist Radiol Surg; 2023 Apr; 18(4):723-732. PubMed ID: 36630071
[TBL] [Abstract][Full Text] [Related]
2. A new 2.5D representation for lymph node detection using random sets of deep convolutional neural network observations.
Roth HR; Lu L; Seff A; Cherry KM; Hoffman J; Wang S; Liu J; Turkbey E; Summers RM
Med Image Comput Comput Assist Interv; 2014; 17(Pt 1):520-7. PubMed ID: 25333158
[TBL] [Abstract][Full Text] [Related]
3. Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.
Iuga AI; Carolus H; Höink AJ; Brosch T; Klinder T; Maintz D; Persigehl T; Baeßler B; Püsken M
BMC Med Imaging; 2021 Apr; 21(1):69. PubMed ID: 33849483
[TBL] [Abstract][Full Text] [Related]
4. Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks.
Gong L; Jiang S; Yang Z; Zhang G; Wang L
Int J Comput Assist Radiol Surg; 2019 Nov; 14(11):1969-1979. PubMed ID: 31028657
[TBL] [Abstract][Full Text] [Related]
5. Semantic segmentation and detection of mediastinal lymph nodes and anatomical structures in CT data for lung cancer staging.
Bouget D; Jørgensen A; Kiss G; Leira HO; Langø T
Int J Comput Assist Radiol Surg; 2019 Jun; 14(6):977-986. PubMed ID: 30891655
[TBL] [Abstract][Full Text] [Related]
6. Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans.
Farhangi MM; Petrick N; Sahiner B; Frigui H; Amini AA; Pezeshk A
Med Phys; 2020 Jun; 47(5):2150-2160. PubMed ID: 32030769
[TBL] [Abstract][Full Text] [Related]
7. AAR-LN-DQ: Automatic anatomy recognition based disease quantification in thoracic lymph node zones via FDG PET/CT images without Nodal Delineation.
Xu G; Udupa JK; Tong Y; Odhner D; Cao H; Torigian DA
Med Phys; 2020 Aug; 47(8):3467-3484. PubMed ID: 32418221
[TBL] [Abstract][Full Text] [Related]
8. Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network.
Rinneburger M; Carolus H; Iuga AI; Weisthoff M; Lennartz S; Hokamp NG; Caldeira L; Shahzad R; Maintz D; Laqua FC; Baeßler B; Klinder T; Persigehl T
Eur Radiol Exp; 2023 Jul; 7(1):45. PubMed ID: 37505296
[TBL] [Abstract][Full Text] [Related]
9. 2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiers.
Seff A; Lu L; Cherry KM; Roth HR; Liu J; Wang S; Hoffman J; Turkbey EB; Summers RM
Med Image Comput Comput Assist Interv; 2014; 17(Pt 1):544-52. PubMed ID: 25333161
[TBL] [Abstract][Full Text] [Related]
10. Deep learning-based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study.
Zhao X; Xie P; Wang M; Li W; Pickhardt PJ; Xia W; Xiong F; Zhang R; Xie Y; Jian J; Bai H; Ni C; Gu J; Yu T; Tang Y; Gao X; Meng X
EBioMedicine; 2020 Jun; 56():102780. PubMed ID: 32512507
[TBL] [Abstract][Full Text] [Related]
11. An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients.
Wallis D; Soussan M; Lacroix M; Akl P; Duboucher C; Buvat I
Eur J Nucl Med Mol Imaging; 2022 Feb; 49(3):881-888. PubMed ID: 34519888
[TBL] [Abstract][Full Text] [Related]
12. Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior.
Feulner J; Zhou SK; Hammon M; Hornegger J; Comaniciu D
Med Image Anal; 2013 Feb; 17(2):254-70. PubMed ID: 23246185
[TBL] [Abstract][Full Text] [Related]
13. Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
Roth HR; Lu L; Liu J; Yao J; Seff A; Cherry K; Kim L; Summers RM
IEEE Trans Med Imaging; 2016 May; 35(5):1170-81. PubMed ID: 26441412
[TBL] [Abstract][Full Text] [Related]
14. Mask R-CNN assisted 2.5D object detection pipeline of
Xu D; Ma M; Cao M; Kishan AU; Nickols NG; Scalzo F; Sheng K
Sci Rep; 2023 Jan; 13(1):1696. PubMed ID: 36717727
[TBL] [Abstract][Full Text] [Related]
15. Mediastinal lymph node detection and station mapping on chest CT using spatial priors and random forest.
Liu J; Hoffman J; Zhao J; Yao J; Lu L; Kim L; Turkbey EB; Summers RM
Med Phys; 2016 Jul; 43(7):4362. PubMed ID: 27370151
[TBL] [Abstract][Full Text] [Related]
16. Identification of pulmonary nodules via CT images with hierarchical fully convolutional networks.
Chen G; Zhang J; Zhuo D; Pan Y; Pang C
Med Biol Eng Comput; 2019 Jul; 57(7):1567-1580. PubMed ID: 31025248
[TBL] [Abstract][Full Text] [Related]
17. Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks.
Debats OA; Litjens GJS; Huisman HJ
PeerJ; 2019; 7():e8052. PubMed ID: 31772836
[TBL] [Abstract][Full Text] [Related]
18. Pulmonary nodule detection using hybrid two-stage 3D CNNs.
Tan M; Wu F; Yang B; Ma J; Kong D; Chen Z; Long D
Med Phys; 2020 Aug; 47(8):3376-3388. PubMed ID: 32239521
[TBL] [Abstract][Full Text] [Related]
19. Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection.
Eun H; Kim D; Jung C; Kim C
Comput Methods Programs Biomed; 2018 Oct; 165():215-224. PubMed ID: 30337076
[TBL] [Abstract][Full Text] [Related]
20. Automatic lung nodule detection in thoracic CT scans using dilated slice-wise convolutions.
Farhangi MM; Sahiner B; Petrick N; Pezeshk A
Med Phys; 2021 Jul; 48(7):3741-3751. PubMed ID: 33932241
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
