233 related articles for article (PubMed ID: 38224306)
1. 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]
2. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.
Armato SG; McLennan G; Bidaut L; McNitt-Gray MF; Meyer CR; Reeves AP; Zhao B; Aberle DR; Henschke CI; Hoffman EA; Kazerooni EA; MacMahon H; Van Beeke EJ; Yankelevitz D; Biancardi AM; Bland PH; Brown MS; Engelmann RM; Laderach GE; Max D; Pais RC; Qing DP; Roberts RY; Smith AR; Starkey A; Batrah P; Caligiuri P; Farooqi A; Gladish GW; Jude CM; Munden RF; Petkovska I; Quint LE; Schwartz LH; Sundaram B; Dodd LE; Fenimore C; Gur D; Petrick N; Freymann J; Kirby J; Hughes B; Casteele AV; Gupte S; Sallamm M; Heath MD; Kuhn MH; Dharaiya E; Burns R; Fryd DS; Salganicoff M; Anand V; Shreter U; Vastagh S; Croft BY
Med Phys; 2011 Feb; 38(2):915-31. PubMed ID: 21452728
[TBL] [Abstract][Full Text] [Related]
3. Nodule-CLIP: Lung nodule classification based on multi-modal contrastive learning.
Sun L; Zhang M; Lu Y; Zhu W; Yi Y; Yan F
Comput Biol Med; 2024 Jun; 175():108505. PubMed ID: 38688129
[TBL] [Abstract][Full Text] [Related]
4. A novel image deep learning-based sub-centimeter pulmonary nodule management algorithm to expedite resection of the malignant and avoid over-diagnosis of the benign.
Yang X; Chu XP; Huang S; Xiao Y; Li D; Su X; Qi YF; Qiu ZB; Wang Y; Tang WF; Wu YL; Zhu Q; Liang H; Zhong WZ
Eur Radiol; 2024 Mar; 34(3):2048-2061. PubMed ID: 37658883
[TBL] [Abstract][Full Text] [Related]
5. Performance Analysis in Children of Traditional and Deep Learning CT Lung Nodule Computer-Aided Detection Systems Trained on Adults.
Hardie RC; Trout AT; Dillman JR; Narayanan BN; Tanimoto AA
AJR Am J Roentgenol; 2024 Feb; 222(2):e2330345. PubMed ID: 37991333
[No Abstract] [Full Text] [Related]
6. Robust deep learning from incomplete annotation for accurate lung nodule detection.
Gao Z; Guo Y; Wang G; Chen X; Cao X; Zhang C; An S; Xu F
Comput Biol Med; 2024 May; 173():108361. PubMed ID: 38569236
[TBL] [Abstract][Full Text] [Related]
7. Hierarchical approach for pulmonary-nodule identification from CT images using YOLO model and a 3D neural network classifier.
Ahmadyar Y; Kamali-Asl A; Arabi H; Samimi R; Zaidi H
Radiol Phys Technol; 2024 Mar; 17(1):124-134. PubMed ID: 37980315
[TBL] [Abstract][Full Text] [Related]
8. Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks.
Onishi Y; Teramoto A; Tsujimoto M; Tsukamoto T; Saito K; Toyama H; Imaizumi K; Fujita H
Biomed Res Int; 2019; 2019():6051939. PubMed ID: 30719445
[TBL] [Abstract][Full Text] [Related]
9. Dual-branch feature fusion S3D V-Net network for lung nodules segmentation.
Xu X; Du L; Yin D
J Appl Clin Med Phys; 2024 Jun; 25(6):e14331. PubMed ID: 38478388
[TBL] [Abstract][Full Text] [Related]
10. Development and external validation of a multimodal integrated feature neural network (MIFNN) for the diagnosis of malignancy in small pulmonary nodules (≤10 mm).
Yang R; Zhang Y; Li W; Li Q; Liu X; Zhang F; Liang Z; Huang J; Li X; Tao L; Guo X
Biomed Phys Eng Express; 2024 May; 10(4):. PubMed ID: 38684143
[No Abstract] [Full Text] [Related]
11. MSM-ViT: A multi-scale MobileViT for pulmonary nodule classification using CT images.
Cao K; Tao H; Wang Z; Jin X
J Xray Sci Technol; 2023; 31(4):731-744. PubMed ID: 37125604
[TBL] [Abstract][Full Text] [Related]
12. Development of a modified 3D region proposal network for lung nodule detection in computed tomography scans: a secondary analysis of lung nodule datasets.
Lin CY; Guo SM; Lien JJ; Tsai TY; Liu YS; Lai CH; Hsu IL; Chang CC; Tseng YL
Cancer Imaging; 2024 Mar; 24(1):40. PubMed ID: 38509635
[TBL] [Abstract][Full Text] [Related]
13. Hyperparameter optimization and development of an advanced CNN-based technique for lung nodule assessment.
Shivwanshi RR; Nirala N
Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37567211
[No Abstract] [Full Text] [Related]
14. A novel higher order appearance texture analysis to diagnose lung cancer based on a modified local ternary pattern.
Alksas A; Shaffie A; Ghazal M; Taher F; Khelifi A; Yaghi M; Soliman A; Bogaert EV; El-Baz A
Comput Methods Programs Biomed; 2023 Oct; 240():107692. PubMed ID: 37459773
[TBL] [Abstract][Full Text] [Related]
15. An adaptive morphology based segmentation technique for lung nodule detection in thoracic CT image.
Halder A; Chatterjee S; Dey D; Kole S; Munshi S
Comput Methods Programs Biomed; 2020 Dec; 197():105720. PubMed ID: 32877818
[TBL] [Abstract][Full Text] [Related]
16. Attention pyramid pooling network for artificial diagnosis on pulmonary nodules.
Wang H; Zhu H; Ding L; Yang K
PLoS One; 2024; 19(5):e0302641. PubMed ID: 38753596
[TBL] [Abstract][Full Text] [Related]
17. Overcoming the Challenge of Accurate Segmentation of Lung Nodules: A Multi-crop CNN Approach.
Sweetline BC; Vijayakumaran C; Samydurai A
J Imaging Inform Med; 2024 Jun; 37(3):988-1007. PubMed ID: 38347393
[TBL] [Abstract][Full Text] [Related]
18. S-Net: an S-shaped network for nodule detection in 3D CT images.
Zhang J; Zou W; Hu N; Zhang B; Wang J
Phys Med Biol; 2024 Apr; 69(7):. PubMed ID: 38382097
[No Abstract] [Full Text] [Related]
19. 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]
20. Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT.
Sourlos N; Pelgrim G; Wisselink HJ; Yang X; de Jonge G; Rook M; Prokop M; Sidorenkov G; van Tuinen M; Vliegenthart R; van Ooijen PMA
Eur Radiol Exp; 2024 May; 8(1):63. PubMed ID: 38764066
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]