BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1342 related articles for article (PubMed ID: 33225476)

  • 21. Fully automatic segmentation of craniomaxillofacial CT scans for computer-assisted orthognathic surgery planning using the nnU-Net framework.
    Dot G; Schouman T; Dubois G; Rouch P; Gajny L
    Eur Radiol; 2022 Jun; 32(6):3639-3648. PubMed ID: 35037088
    [TBL] [Abstract][Full Text] [Related]  

  • 22. CAD systems for COVID-19 diagnosis and disease stage classification by segmentation of infected regions from CT images.
    Alshayeji MH; ChandraBhasi Sindhu S; Abed S
    BMC Bioinformatics; 2022 Jul; 23(1):264. PubMed ID: 35794537
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Congenital diaphragmatic hernia: automatic lung and liver MRI segmentation with nnU-Net, reproducibility of pyradiomics features, and a machine learning application for the classification of liver herniation.
    Conte L; Amodeo I; De Nunzio G; Raffaeli G; Borzani I; Persico N; Griggio A; Como G; Cascio D; Colnaghi M; Mosca F; Cavallaro G
    Eur J Pediatr; 2024 May; 183(5):2285-2300. PubMed ID: 38416256
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground Truth.
    Mortani Barbosa EJ; Gefter WB; Ghesu FC; Liu S; Mailhe B; Mansoor A; Grbic S; Vogt S
    Invest Radiol; 2021 Aug; 56(8):471-479. PubMed ID: 33481459
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images.
    Qi Q; Qi S; Wu Y; Li C; Tian B; Xia S; Ren J; Yang L; Wang H; Yu H
    Comput Biol Med; 2022 Feb; 141():105182. PubMed ID: 34979404
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets.
    Park J; Yun J; Kim N; Park B; Cho Y; Park HJ; Song M; Lee M; Seo JB
    J Digit Imaging; 2020 Feb; 33(1):221-230. PubMed ID: 31152273
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep learning framework for prediction of infection severity of COVID-19.
    Yousefzadeh M; Hasanpour M; Zolghadri M; Salimi F; Yektaeian Vaziri A; Mahmoudi Aqeel Abadi A; Jafari R; Esfahanian P; Nazem-Zadeh MR
    Front Med (Lausanne); 2022; 9():940960. PubMed ID: 36059818
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans.
    Wu Y; Qi Q; Qi S; Yang L; Wang H; Yu H; Li J; Wang G; Zhang P; Liang Z; Chen R
    Comput Biol Med; 2023 Mar; 154():106567. PubMed ID: 36738705
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images.
    Zhao C; Xu Y; He Z; Tang J; Zhang Y; Han J; Shi Y; Zhou W
    Pattern Recognit; 2021 Nov; 119():108071. PubMed ID: 34092815
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Chest CT-based automated vertebral fracture assessment using artificial intelligence and morphologic features.
    Nadeem SA; Comellas AP; Regan EA; Hoffman EA; Saha PK
    Med Phys; 2024 Jun; 51(6):4201-4218. PubMed ID: 38721977
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Automated Lung Segmentation on Chest Computed Tomography Images with Extensive Lung Parenchymal Abnormalities Using a Deep Neural Network.
    Yoo SJ; Yoon SH; Lee JH; Kim KH; Choi HI; Park SJ; Goo JM
    Korean J Radiol; 2021 Mar; 22(3):476-488. PubMed ID: 33169549
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Three-stage segmentation of lung region from CT images using deep neural networks.
    Osadebey M; Andersen HK; Waaler D; Fossaa K; Martinsen ACT; Pedersen M
    BMC Med Imaging; 2021 Jul; 21(1):112. PubMed ID: 34266391
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images.
    Ni Q; Sun ZY; Qi L; Chen W; Yang Y; Wang L; Zhang X; Yang L; Fang Y; Xing Z; Zhou Z; Yu Y; Lu GM; Zhang LJ
    Eur Radiol; 2020 Dec; 30(12):6517-6527. PubMed ID: 32617690
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Quantification of liver-Lung shunt fraction on 3D SPECT/CT images for selective internal radiation therapy of liver cancer using CNN-based segmentations and non-rigid registration.
    Luu MH; Mai HS; Pham XL; Le QA; Le QK; Walsum TV; Le NH; Franklin D; Le VH; Moelker A; Chu DT; Trung NL
    Comput Methods Programs Biomed; 2023 May; 233():107453. PubMed ID: 36921463
    [TBL] [Abstract][Full Text] [Related]  

  • 36. COVID-19 infection segmentation using hybrid deep learning and image processing techniques.
    Antar S; Abd El-Sattar HKH; Abdel-Rahman MH; F M Ghaleb F
    Sci Rep; 2023 Dec; 13(1):22737. PubMed ID: 38123587
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A method of rapid quantification of patient-specific organ doses for CT using deep-learning-based multi-organ segmentation and GPU-accelerated Monte Carlo dose computing.
    Peng Z; Fang X; Yan P; Shan H; Liu T; Pei X; Wang G; Liu B; Kalra MK; Xu XG
    Med Phys; 2020 Jun; 47(6):2526-2536. PubMed ID: 32155670
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Computer-Aided Diagnosis of COVID-19 CT Scans Based on Spatiotemporal Information Fusion.
    Li T; Wei W; Cheng L; Zhao S; Xu C; Zhang X; Zeng Y; Gu J
    J Healthc Eng; 2021; 2021():6649591. PubMed ID: 33747417
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Accurate object localization facilitates automatic esophagus segmentation in deep learning.
    Li Z; Gan G; Guo J; Zhan W; Chen L
    Radiat Oncol; 2024 May; 19(1):55. PubMed ID: 38735947
    [TBL] [Abstract][Full Text] [Related]  

  • 40. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
    Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
    Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 68.