2438 related articles for article (PubMed ID: 30602393)
1. 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]
2. Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images.
Zabihollahy F; White JA; Ukwatta E
Med Phys; 2019 Apr; 46(4):1740-1751. PubMed ID: 30734937
[TBL] [Abstract][Full Text] [Related]
3. CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images.
Monkam P; Qi S; Xu M; Han F; Zhao X; Qian W
Biomed Eng Online; 2018 Jul; 17(1):96. PubMed ID: 30012167
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks.
Liu X; Guo S; Yang B; Ma S; Zhang H; Li J; Sun C; Jin L; Li X; Yang Q; Fu Y
J Digit Imaging; 2018 Oct; 31(5):748-760. PubMed ID: 29679242
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.
Ma J; Wu F; Jiang T; Zhao Q; Kong D
Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1895-1910. PubMed ID: 28762196
[TBL] [Abstract][Full Text] [Related]
10. Relative location prediction in CT scan images using convolutional neural networks.
Guo J; Du H; Zhu J; Yan T; Qiu B
Comput Methods Programs Biomed; 2018 Jul; 160():43-49. PubMed ID: 29728245
[TBL] [Abstract][Full Text] [Related]
11. A Segmentation Method for Lung Parenchyma Image Sequences Based on Superpixels and a Self-Generating Neural Forest.
Liao X; Zhao J; Jiao C; Lei L; Qiang Y; Cui Q
PLoS One; 2016; 11(8):e0160556. PubMed ID: 27532214
[TBL] [Abstract][Full Text] [Related]
12. Pulmonary Artery-Vein Classification in CT Images Using Deep Learning.
Nardelli P; Jimenez-Carretero D; Bermejo-Pelaez D; Washko GR; Rahaghi FN; Ledesma-Carbayo MJ; San Jose Estepar R
IEEE Trans Med Imaging; 2018 Nov; 37(11):2428-2440. PubMed ID: 29993996
[TBL] [Abstract][Full Text] [Related]
13. Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier.
Wolterink JM; van Hamersvelt RW; Viergever MA; Leiner T; Išgum I
Med Image Anal; 2019 Jan; 51():46-60. PubMed ID: 30388501
[TBL] [Abstract][Full Text] [Related]
14. Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network.
Anthimopoulos M; Christodoulidis S; Ebner L; Christe A; Mougiakakou S
IEEE Trans Med Imaging; 2016 May; 35(5):1207-1216. PubMed ID: 26955021
[TBL] [Abstract][Full Text] [Related]
15. Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.
Cha KH; Hadjiiski L; Samala RK; Chan HP; Caoili EM; Cohan RH
Med Phys; 2016 Apr; 43(4):1882. PubMed ID: 27036584
[TBL] [Abstract][Full Text] [Related]
16. A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning.
Chan JW; Kearney V; Haaf S; Wu S; Bogdanov M; Reddick M; Dixit N; Sudhyadhom A; Chen J; Yom SS; Solberg TD
Med Phys; 2019 May; 46(5):2204-2213. PubMed ID: 30887523
[TBL] [Abstract][Full Text] [Related]
17. Esophagus segmentation in CT via 3D fully convolutional neural network and random walk.
Fechter T; Adebahr S; Baltas D; Ben Ayed I; Desrosiers C; Dolz J
Med Phys; 2017 Dec; 44(12):6341-6352. PubMed ID: 28940372
[TBL] [Abstract][Full Text] [Related]
18. Deep-learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography.
Gordon MN; Hadjiiski LM; Cha KH; Samala RK; Chan HP; Cohan RH; Caoili EM
Med Phys; 2019 Feb; 46(2):634-648. PubMed ID: 30520055
[TBL] [Abstract][Full Text] [Related]
19. Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN.
Xu X; Zhou F; Liu B
Int J Comput Assist Radiol Surg; 2018 Jul; 13(7):967-975. PubMed ID: 29556905
[TBL] [Abstract][Full Text] [Related]
20. Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.
Cha YJ; Jang WI; Kim MS; Yoo HJ; Paik EK; Jeong HK; Youn SM
Anticancer Res; 2018 Sep; 38(9):5437-5445. PubMed ID: 30194200
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
