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.
164 related articles for article (PubMed ID: 34581296)
1. Deep Learning for Discrimination Between Fungal Keratitis and Bacterial Keratitis: DeepKeratitis. Ghosh AK; Thammasudjarit R; Jongkhajornpong P; Attia J; Thakkinstian A Cornea; 2022 May; 41(5):616-622. PubMed ID: 34581296 [TBL] [Abstract][Full Text] [Related]
2. Using Slit-Lamp Images for Deep Learning-Based Identification of Bacterial and Fungal Keratitis: Model Development and Validation with Different Convolutional Neural Networks. Hung N; Shih AK; Lin C; Kuo MT; Hwang YS; Wu WC; Kuo CF; Kang EY; Hsiao CH Diagnostics (Basel); 2021 Jul; 11(7):. PubMed ID: 34359329 [TBL] [Abstract][Full Text] [Related]
3. Accuracy of artificial intelligence model for infectious keratitis classification: a systematic review and meta-analysis. Sarayar R; Lestari YD; Setio AAA; Sitompul R Front Public Health; 2023; 11():1239231. PubMed ID: 38074720 [TBL] [Abstract][Full Text] [Related]
4. Feasibility assessment of infectious keratitis depicted on slit-lamp and smartphone photographs using deep learning. Wang L; Chen K; Wen H; Zheng Q; Chen Y; Pu J; Chen W Int J Med Inform; 2021 Nov; 155():104583. PubMed ID: 34560490 [TBL] [Abstract][Full Text] [Related]
5. Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images. Salehi M; Mohammadi R; Ghaffari H; Sadighi N; Reiazi R Br J Radiol; 2021 May; 94(1121):20201263. PubMed ID: 33861150 [TBL] [Abstract][Full Text] [Related]
6. Deep Learning Approach in Image Diagnosis of Kuo MT; Hsu BW; Lin YS; Fang PC; Yu HJ; Hsiao YT; Tseng VS Diagnostics (Basel); 2022 Nov; 12(12):. PubMed ID: 36552954 [TBL] [Abstract][Full Text] [Related]
7. Image-Based Differentiation of Bacterial and Fungal Keratitis Using Deep Convolutional Neural Networks. Redd TK; Prajna NV; Srinivasan M; Lalitha P; Krishnan T; Rajaraman R; Venugopal A; Acharya N; Seitzman GD; Lietman TM; Keenan JD; Campbell JP; Song X Ophthalmol Sci; 2022 Jun; 2(2):100119. PubMed ID: 36249698 [TBL] [Abstract][Full Text] [Related]
8. Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms. Balaha HM; Balaha MH; Ali HA Artif Intell Med; 2021 Sep; 119():102156. PubMed ID: 34531015 [TBL] [Abstract][Full Text] [Related]
10. Comparisons of deep learning algorithms for diagnosing bacterial keratitis via external eye photographs. Kuo MT; Hsu BW; Lin YS; Fang PC; Yu HJ; Chen A; Yu MS; Tseng VS Sci Rep; 2021 Dec; 11(1):24227. PubMed ID: 34930952 [TBL] [Abstract][Full Text] [Related]
11. Interpretable deep learning for diagnosis of fungal and acanthamoeba keratitis using in vivo confocal microscopy images. Essalat M; Abolhosseini M; Le TH; Moshtaghion SM; Kanavi MR Sci Rep; 2023 Jun; 13(1):8953. PubMed ID: 37268665 [TBL] [Abstract][Full Text] [Related]
12. Two-stage deep neural network for diagnosing fungal keratitis via in vivo confocal microscopy images. Li CP; Dai W; Xiao YP; Qi M; Zhang LX; Gao L; Zhang FL; Lai YK; Liu C; Lu J; Chen F; Chen D; Shi S; Li S; Zeng Q; Chen Y Sci Rep; 2024 Aug; 14(1):18432. PubMed ID: 39117709 [TBL] [Abstract][Full Text] [Related]
13. Comparisons of artificial intelligence algorithms in automatic segmentation for fungal keratitis diagnosis by anterior segment images. Li DJ; Huang BL; Peng Y Front Neurosci; 2023; 17():1195188. PubMed ID: 37360182 [TBL] [Abstract][Full Text] [Related]
14. Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network. Liu Z; Cao Y; Li Y; Xiao X; Qiu Q; Yang M; Zhao Y; Cui L Comput Methods Programs Biomed; 2020 Apr; 187():105019. PubMed ID: 31421868 [TBL] [Abstract][Full Text] [Related]
15. Diagnostic Accuracies of Laryngeal Diseases Using a Convolutional Neural Network-Based Image Classification System. Cho WK; Lee YJ; Joo HA; Jeong IS; Choi Y; Nam SY; Kim SY; Choi SH Laryngoscope; 2021 Nov; 131(11):2558-2566. PubMed ID: 34000069 [TBL] [Abstract][Full Text] [Related]
16. Classification of rotator cuff tears in ultrasound images using deep learning models. Ho TT; Kim GT; Kim T; Choi S; Park EK Med Biol Eng Comput; 2022 May; 60(5):1269-1278. PubMed ID: 35043367 [TBL] [Abstract][Full Text] [Related]
17. Deep Convolutional Neural Networks Detect no Morphological Differences Between Culture-Positive and Culture-Negative Infectious Keratitis Images. Kogachi K; Lalitha P; Prajna NV; Gunasekaran R; Keenan JD; Campbell JP; Song X; Redd TK Transl Vis Sci Technol; 2023 Jan; 12(1):12. PubMed ID: 36607623 [TBL] [Abstract][Full Text] [Related]
18. Automatic Diagnosis of Infectious Keratitis Based on Slit Lamp Images Analysis. Hu S; Sun Y; Li J; Xu P; Xu M; Zhou Y; Wang Y; Wang S; Ye J J Pers Med; 2023 Mar; 13(3):. PubMed ID: 36983701 [TBL] [Abstract][Full Text] [Related]
19. An artificial intelligence approach to classify pathogenic fungal genera of fungal keratitis using corneal confocal microscopy images. Tang N; Huang G; Lei D; Jiang L; Chen Q; He W; Tang F; Hong Y; Lv J; Qin Y; Lin Y; Lan Q; Qin Y; Lan R; Pan X; Li M; Xu F; Lu P Int Ophthalmol; 2023 Jul; 43(7):2203-2214. PubMed ID: 36595127 [TBL] [Abstract][Full Text] [Related]
20. Prediction of pulp exposure risk of carious pulpitis based on deep learning. Wang L; Wu F; Xiao M; Chen YX; Wu L Hua Xi Kou Qiang Yi Xue Za Zhi; 2023 Apr; 41(2):218-224. PubMed ID: 37056189 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]