1178 related articles for article (PubMed ID: 33968356)
1. Computed Tomography Image Processing Analysis in COVID-19 Patient Follow-Up Assessment.
Tello-Mijares S; Woo L
J Healthc Eng; 2021; 2021():8869372. PubMed ID: 33968356
[TBL] [Abstract][Full Text] [Related]
2. COVID-19 pneumonia: computer-aided quantification of healthy lung parenchyma, emphysema, ground glass and consolidation on chest computed tomography (CT).
Grassi R; Belfiore MP; Montanelli A; Patelli G; Urraro F; Giacobbe G; Fusco R; Granata V; Petrillo A; Sacco P; Mazzei MA; Feragalli B; Reginelli A; Cappabianca S
Radiol Med; 2021 Apr; 126(4):553-560. PubMed ID: 33206301
[TBL] [Abstract][Full Text] [Related]
3. Novel COVID-19 Diagnosis Delivery App Using Computed Tomography Images Analyzed with Saliency-Preprocessing and Deep Learning.
Tello-Mijares S; Woo F
Tomography; 2022 Jun; 8(3):1618-1630. PubMed ID: 35736882
[TBL] [Abstract][Full Text] [Related]
4. Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.
V J S; D JF
Comput Math Methods Med; 2021; 2021():9269173. PubMed ID: 34795794
[TBL] [Abstract][Full Text] [Related]
5. JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation.
Wu YH; Gao SH; Mei J; Xu J; Fan DP; Zhang RG; Cheng MM
IEEE Trans Image Process; 2021; 30():3113-3126. PubMed ID: 33600316
[TBL] [Abstract][Full Text] [Related]
6. Clinical and laboratory data, radiological structured report findings and quantitative evaluation of lung involvement on baseline chest CT in COVID-19 patients to predict prognosis.
Salvatore C; Roberta F; Angela L; Cesare P; Alfredo C; Giuliano G; Giulio L; Giuliana G; Maria RG; Paola BM; Fabrizio U; Roberta G; Beatrice F; Vittorio M
Radiol Med; 2021 Jan; 126(1):29-39. PubMed ID: 33047295
[TBL] [Abstract][Full Text] [Related]
7. Value of minimum intensity projections for chest CT in COVID-19 patients.
Booz C; Vogl TJ; Joseph Schoepf U; Caruso D; Inserra MC; Yel I; Martin SS; Bucher AM; Lenga L; Caudo D; Schreckenbach T; Schoell N; Huegel C; Stratmann J; Vasa-Nicotera M; Rachovitsky-Duarte DE; Laghi A; De Santis D; Mazziotti S; D'Angelo T; Albrecht MH
Eur J Radiol; 2021 Feb; 135():109478. PubMed ID: 33360269
[TBL] [Abstract][Full Text] [Related]
8. Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study.
Jang SB; Lee SH; Lee DE; Park SY; Kim JK; Cho JW; Cho J; Kim KB; Park B; Park J; Lim JK
PLoS One; 2020; 15(11):e0242759. PubMed ID: 33232368
[TBL] [Abstract][Full Text] [Related]
9. Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning.
Li X; Tan W; Liu P; Zhou Q; Yang J
J Healthc Eng; 2021; 2021():5528441. PubMed ID: 33936577
[TBL] [Abstract][Full Text] [Related]
10. SOM-LWL method for identification of COVID-19 on chest X-rays.
Osman AH; Aljahdali HM; Altarrazi SM; Ahmed A
PLoS One; 2021; 16(2):e0247176. PubMed ID: 33626053
[TBL] [Abstract][Full Text] [Related]
11. AI-driven quantification of ground glass opacities in lungs of COVID-19 patients using 3D computed tomography imaging.
Saha M; Amin SB; Sharma A; Kumar TKS; Kalia RK
PLoS One; 2022; 17(3):e0263916. PubMed ID: 35286309
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Lung Infection Segmentation for COVID-19 Pneumonia Based on a Cascade Convolutional Network from CT Images.
Ranjbarzadeh R; Jafarzadeh Ghoushchi S; Bendechache M; Amirabadi A; Ab Rahman MN; Baseri Saadi S; Aghamohammadi A; Kooshki Forooshani M
Biomed Res Int; 2021; 2021():5544742. PubMed ID: 33954175
[TBL] [Abstract][Full Text] [Related]
14. Clinical and radiological features of novel coronavirus pneumonia.
Zheng Q; Lu Y; Lure F; Jaeger S; Lu P
J Xray Sci Technol; 2020; 28(3):391-404. PubMed ID: 32538893
[TBL] [Abstract][Full Text] [Related]
15. Automated quantification of COVID-19 severity and progression using chest CT images.
Pu J; Leader JK; Bandos A; Ke S; Wang J; Shi J; Du P; Guo Y; Wenzel SE; Fuhrman CR; Wilson DO; Sciurba FC; Jin C
Eur Radiol; 2021 Jan; 31(1):436-446. PubMed ID: 32789756
[TBL] [Abstract][Full Text] [Related]
16. [Spatial and temporal distribution and predictive value of chest CT scoring in patients with COVID-19].
Li S; Liu SY; Zhao YQ; Li QY; Liu DY; Liu ZC; Li DS; Zeng L; Ge QG; Ma QB; Shen N
Zhonghua Jie He He Hu Xi Za Zhi; 2021 Mar; 44(3):230-236. PubMed ID: 33721937
[No Abstract] [Full Text] [Related]
17. 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]
18. Automated Diagnosis of Chest X-Ray for Early Detection of COVID-19 Disease.
Senan EM; Alzahrani A; Alzahrani MY; Alsharif N; Aldhyani THH
Comput Math Methods Med; 2021; 2021():6919483. PubMed ID: 34721659
[TBL] [Abstract][Full Text] [Related]
19. Deep Bidirectional Classification Model for COVID-19 Disease Infected Patients.
Pathak Y; Shukla PK; Arya KV
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(4):1234-1241. PubMed ID: 32750891
[TBL] [Abstract][Full Text] [Related]
20. Detecting COVID-19 Pneumonia over Fuzzy Image Enhancement on Computed Tomography Images.
Alzahrani A; Bhuiyan MA; Akhter F
Comput Math Methods Med; 2022; 2022():1043299. PubMed ID: 35087599
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]