134 related articles for article (PubMed ID: 38569236)
21. A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning.
Gu Y; Chi J; Liu J; Yang L; Zhang B; Yu D; Zhao Y; Lu X
Comput Biol Med; 2021 Oct; 137():104806. PubMed ID: 34461501
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. 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]
24. One-stage pulmonary nodule detection using 3-D DCNN with feature fusion and attention mechanism in CT image.
Huang YS; Chou PR; Chen HM; Chang YC; Chang RF
Comput Methods Programs Biomed; 2022 Jun; 220():106786. PubMed ID: 35398579
[TBL] [Abstract][Full Text] [Related]
25. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Setio AAA; Traverso A; de Bel T; Berens MSN; Bogaard CVD; Cerello P; Chen H; Dou Q; Fantacci ME; Geurts B; Gugten RV; Heng PA; Jansen B; de Kaste MMJ; Kotov V; Lin JY; Manders JTMC; Sóñora-Mengana A; García-Naranjo JC; Papavasileiou E; Prokop M; Saletta M; Schaefer-Prokop CM; Scholten ET; Scholten L; Snoeren MM; Torres EL; Vandemeulebroucke J; Walasek N; Zuidhof GCA; Ginneken BV; Jacobs C
Med Image Anal; 2017 Dec; 42():1-13. PubMed ID: 28732268
[TBL] [Abstract][Full Text] [Related]
26. Improving Accuracy of Lung Nodule Classification Using Deep Learning with Focal Loss.
Tran GS; Nghiem TP; Nguyen VT; Luong CM; Burie JC
J Healthc Eng; 2019; 2019():5156416. PubMed ID: 30863524
[TBL] [Abstract][Full Text] [Related]
27. Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database.
Jacobs C; van Rikxoort EM; Murphy K; Prokop M; Schaefer-Prokop CM; van Ginneken B
Eur Radiol; 2016 Jul; 26(7):2139-47. PubMed ID: 26443601
[TBL] [Abstract][Full Text] [Related]
28. Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.
Xie Y; Xia Y; Zhang J; Song Y; Feng D; Fulham M; Cai W
IEEE Trans Med Imaging; 2019 Apr; 38(4):991-1004. PubMed ID: 30334786
[TBL] [Abstract][Full Text] [Related]
29. A new computationally efficient CAD system for pulmonary nodule detection in CT imagery.
Messay T; Hardie RC; Rogers SK
Med Image Anal; 2010 Jun; 14(3):390-406. PubMed ID: 20346728
[TBL] [Abstract][Full Text] [Related]
30. Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs.
Yoo H; Kim KH; Singh R; Digumarthy SR; Kalra MK
JAMA Netw Open; 2020 Sep; 3(9):e2017135. PubMed ID: 32970157
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. 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]
33. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
Huang W; Xue Y; Wu Y
PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
[TBL] [Abstract][Full Text] [Related]
34. Application of Deep Learning in Lung Cancer Imaging Diagnosis.
Jiang W; Zeng G; Wang S; Wu X; Xu C
J Healthc Eng; 2022; 2022():6107940. PubMed ID: 35028122
[TBL] [Abstract][Full Text] [Related]
35. Improved lung nodule diagnosis accuracy using lung CT images with uncertain class.
Wang Z; Xin J; Sun P; Lin Z; Yao Y; Gao X
Comput Methods Programs Biomed; 2018 Aug; 162():197-209. PubMed ID: 29903487
[TBL] [Abstract][Full Text] [Related]
36. Pulmonary nodule detection based on IR-UNet + + .
Lin J; She Q; Chen Y
Med Biol Eng Comput; 2023 Feb; 61(2):485-495. PubMed ID: 36522521
[TBL] [Abstract][Full Text] [Related]
37. Self-Supervised Transfer Learning Based on Domain Adaptation for Benign-Malignant Lung Nodule Classification on Thoracic CT.
Huang H; Wu R; Li Y; Peng C
IEEE J Biomed Health Inform; 2022 Aug; 26(8):3860-3871. PubMed ID: 35503850
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs.
Gu Y; Lu X; Yang L; Zhang B; Yu D; Zhao Y; Gao L; Wu L; Zhou T
Comput Biol Med; 2018 Dec; 103():220-231. PubMed ID: 30390571
[TBL] [Abstract][Full Text] [Related]
40. Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network.
Wang Q; Shen F; Shen L; Huang J; Sheng W
J Digit Imaging; 2019 Dec; 32(6):971-979. PubMed ID: 31062113
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
