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.
115 related articles for article (PubMed ID: 37362655)
41. Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images. Rahman T; Khandakar A; Qiblawey Y; Tahir A; Kiranyaz S; Abul Kashem SB; Islam MT; Al Maadeed S; Zughaier SM; Khan MS; Chowdhury MEH Comput Biol Med; 2021 May; 132():104319. PubMed ID: 33799220 [TBL] [Abstract][Full Text] [Related]
42. Recognizing COVID-19 from chest X-ray images for people in rural and remote areas based on deep transfer learning model. Qjidaa M; Ben-Fares A; Amakdouf H; El Mallahi M; Alami BE; Maaroufi M; Lakhssassi A; Qjidaa H Multimed Tools Appl; 2022; 81(9):13115-13135. PubMed ID: 35221780 [TBL] [Abstract][Full Text] [Related]
43. An Automated Lightweight Deep Neural Network for Diagnosis of COVID-19 from Chest X-ray Images. Nayak SR; Nayak J; Sinha U; Arora V; Ghosh U; Satapathy SC Arab J Sci Eng; 2021 Aug; ():1-18. PubMed ID: 34395157 [TBL] [Abstract][Full Text] [Related]
44. Codeless Deep Learning of COVID-19 Chest X-Ray Image Dataset with KNIME Analytics Platform. An JY; Seo H; Kim YG; Lee KE; Kim S; Kong HJ Healthc Inform Res; 2021 Jan; 27(1):82-91. PubMed ID: 33611880 [TBL] [Abstract][Full Text] [Related]
45. Automated COVID-19 detection from X-ray and CT images with stacked ensemble convolutional neural network. Gour M; Jain S Biocybern Biomed Eng; 2022; 42(1):27-41. PubMed ID: 34908638 [TBL] [Abstract][Full Text] [Related]
46. Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data. Loey M; El-Sappagh S; Mirjalili S Comput Biol Med; 2022 Mar; 142():105213. PubMed ID: 35026573 [TBL] [Abstract][Full Text] [Related]
47. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images. P B S; Faruqi F; K S H; Kudva R Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371 [TBL] [Abstract][Full Text] [Related]
48. A deep learning-based COVID-19 classification from chest X-ray image: case study. Appasami G; Nickolas S Eur Phys J Spec Top; 2022; 231(18-20):3767-3777. PubMed ID: 35996535 [TBL] [Abstract][Full Text] [Related]
49. Classification of Alzheimer's Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling. Wang SH; Phillips P; Sui Y; Liu B; Yang M; Cheng H J Med Syst; 2018 Mar; 42(5):85. PubMed ID: 29577169 [TBL] [Abstract][Full Text] [Related]
50. CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images. Srivastava G; Chauhan A; Jangid M; Chaurasia S Biomed Signal Process Control; 2022 Sep; 78():103848. PubMed ID: 35694696 [TBL] [Abstract][Full Text] [Related]
51. Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection. Chakraborty M; Dhavale SV; Ingole J Appl Intell (Dordr); 2021; 51(5):3026-3043. PubMed ID: 34764582 [TBL] [Abstract][Full Text] [Related]
52. CoviExpert: COVID-19 detection from chest X-ray using CNN. Arivoli A; Golwala D; Reddy R Measur Sens; 2022 Oct; 23():100392. PubMed ID: 36896335 [TBL] [Abstract][Full Text] [Related]
53. ENResNet: A novel residual neural network for chest X-ray enhancement based COVID-19 detection. Ghosh SK; Ghosh A Biomed Signal Process Control; 2022 Feb; 72():103286. PubMed ID: 34745319 [TBL] [Abstract][Full Text] [Related]
54. Quantitative and Qualitative Analysis of 18 Deep Convolutional Neural Network (CNN) Models with Transfer Learning to Diagnose COVID-19 on Chest X-Ray (CXR) Images. Chow LS; Tang GS; Solihin MI; Gowdh NM; Ramli N; Rahmat K SN Comput Sci; 2023; 4(2):141. PubMed ID: 36624807 [TBL] [Abstract][Full Text] [Related]
56. Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset. Ha R; Chin C; Karcich J; Liu MZ; Chang P; Mutasa S; Pascual Van Sant E; Wynn RT; Connolly E; Jambawalikar S J Digit Imaging; 2019 Oct; 32(5):693-701. PubMed ID: 30361936 [TBL] [Abstract][Full Text] [Related]
57. Development of CNN-LSTM combinational architecture for COVID-19 detection. Narula A; Vaegae NK J Ambient Intell Humaniz Comput; 2023; 14(3):2645-2656. PubMed ID: 36590235 [TBL] [Abstract][Full Text] [Related]
58. Femoral neck fracture detection in X-ray images using deep learning and genetic algorithm approaches. Beyaz S; Açıcı K; Sümer E Jt Dis Relat Surg; 2020; 31(2):175-183. PubMed ID: 32584712 [TBL] [Abstract][Full Text] [Related]
59. Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network. Wang SH; Govindaraj VV; Górriz JM; Zhang X; Zhang YD Inf Fusion; 2021 Mar; 67():208-229. PubMed ID: 33052196 [TBL] [Abstract][Full Text] [Related]
60. Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method. Chen YM; Chen YJ; Ho WH; Tsai JT BMC Bioinformatics; 2021 Nov; 22(Suppl 5):147. PubMed ID: 34749629 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]