These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
1075 related articles for article (PubMed ID: 30456668)
1. Deep Semantic Segmentation of Kidney and Space-Occupying Lesion Area Based on SCNN and ResNet Models Combined with SIFT-Flow Algorithm. Xia KJ; Yin HS; Zhang YD J Med Syst; 2018 Nov; 43(1):2. PubMed ID: 30456668 [TBL] [Abstract][Full Text] [Related]
2. Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images. Naceur MB; Saouli R; Akil M; Kachouri R Comput Methods Programs Biomed; 2018 Nov; 166():39-49. PubMed ID: 30415717 [TBL] [Abstract][Full Text] [Related]
3. Semantic segmentation of mFISH images using convolutional networks. Pardo E; Morgado JMT; Malpica N Cytometry A; 2018 Jun; 93(6):620-627. PubMed ID: 29710381 [TBL] [Abstract][Full Text] [Related]
4. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation. Lee H; Hong H; Kim J; Jung DC Med Phys; 2018 Apr; 45(4):1550-1561. PubMed ID: 29474742 [TBL] [Abstract][Full Text] [Related]
5. Kidney segmentation in CT sequences using SKFCM and improved GrowCut algorithm. Song H; Kang W; Zhang Q; Wang S BMC Syst Biol; 2015; 9 Suppl 5(Suppl 5):S5. PubMed ID: 26356850 [TBL] [Abstract][Full Text] [Related]
6. Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. Roth HR; Lu L; Lay N; Harrison AP; Farag A; Sohn A; Summers RM Med Image Anal; 2018 Apr; 45():94-107. PubMed ID: 29427897 [TBL] [Abstract][Full Text] [Related]
7. Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches. Zhou X Adv Exp Med Biol; 2020; 1213():135-147. PubMed ID: 32030668 [TBL] [Abstract][Full Text] [Related]
8. Medical Image Analysis using Convolutional Neural Networks: A Review. Anwar SM; Majid M; Qayyum A; Awais M; Alnowami M; Khan MK J Med Syst; 2018 Oct; 42(11):226. PubMed ID: 30298337 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images. Bevilacqua V; Brunetti A; Cascarano GD; Guerriero A; Pesce F; Moschetta M; Gesualdo L BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 9):244. PubMed ID: 31830973 [TBL] [Abstract][Full Text] [Related]
12. Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method. Zhou X; Takayama R; Wang S; Hara T; Fujita H Med Phys; 2017 Oct; 44(10):5221-5233. PubMed ID: 28730602 [TBL] [Abstract][Full Text] [Related]
13. Lung Lesion Detection in CT Scan Images Using the Fuzzy Local Information Cluster Means (FLICM) Automatic Segmentation Algorithm and Back Propagation Network Classification. Lavanya M; Kannan PM Asian Pac J Cancer Prev; 2017 Dec; 18(12):3395-3399. PubMed ID: 29286609 [TBL] [Abstract][Full Text] [Related]
14. Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation. Budak Ü; Guo Y; Tanyildizi E; Şengür A Med Hypotheses; 2020 Jan; 134():109431. PubMed ID: 31669758 [TBL] [Abstract][Full Text] [Related]
15. White Matter Segmentation Algorithm for DTI Images Based on Super-Pixel Full Convolutional Network. Mu Y; Li Q; Zhang Y J Med Syst; 2019 Aug; 43(9):303. PubMed ID: 31407120 [TBL] [Abstract][Full Text] [Related]
16. Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learning. Men K; Zhang T; Chen X; Chen B; Tang Y; Wang S; Li Y; Dai J Phys Med; 2018 Jun; 50():13-19. PubMed ID: 29891089 [TBL] [Abstract][Full Text] [Related]
17. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification. Al-Masni MA; Kim DH; Kim TS Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084 [TBL] [Abstract][Full Text] [Related]
18. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging. Tang P; Liang Q; Yan X; Xiang S; Sun W; Zhang D; Coppola G Comput Methods Programs Biomed; 2019 Sep; 178():289-301. PubMed ID: 31416556 [TBL] [Abstract][Full Text] [Related]
19. Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images. Masood A; Sheng B; Li P; Hou X; Wei X; Qin J; Feng D J Biomed Inform; 2018 Mar; 79():117-128. PubMed ID: 29366586 [TBL] [Abstract][Full Text] [Related]
20. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks. Al-Masni MA; Al-Antari MA; Choi MT; Han SM; Kim TS Comput Methods Programs Biomed; 2018 Aug; 162():221-231. PubMed ID: 29903489 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]