117 related articles for article (PubMed ID: 36676082)
1. A Minority Class Balanced Approach Using the DCNN-LSTM Method to Detect Human Wrist Fracture.
Rashid T; Zia MS; Najam-Ur-Rehman ; Meraj T; Rauf HT; Kadry S
Life (Basel); 2023 Jan; 13(1):. PubMed ID: 36676082
[TBL] [Abstract][Full Text] [Related]
2. Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs.
Naseer A; Tamoor M; Azhar A
J Xray Sci Technol; 2022; 30(1):89-109. PubMed ID: 34842222
[TBL] [Abstract][Full Text] [Related]
3. A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images.
Islam MZ; Islam MM; Asraf A
Inform Med Unlocked; 2020; 20():100412. PubMed ID: 32835084
[TBL] [Abstract][Full Text] [Related]
4. Deep Learning in the Detection of Rare Fractures - Development of a "Deep Learning Convolutional Network" Model for Detecting Acetabular Fractures.
Erne F; Dehncke D; Herath SC; Springer F; Pfeifer N; Eggeling R; Küper MA
Z Orthop Unfall; 2023 Feb; 161(1):42-50. PubMed ID: 34311473
[TBL] [Abstract][Full Text] [Related]
5. Convolutional Neural Network to Classify Infrared Thermal Images of Fractured Wrists in Pediatrics.
Shobayo O; Saatchi R; Ramlakhan S
Healthcare (Basel); 2024 May; 12(10):. PubMed ID: 38786405
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Development and Validation of a Deep Learning Model Using Convolutional Neural Networks to Identify Scaphoid Fractures in Radiographs.
Yoon AP; Lee YL; Kane RL; Kuo CF; Lin C; Chung KC
JAMA Netw Open; 2021 May; 4(5):e216096. PubMed ID: 33956133
[TBL] [Abstract][Full Text] [Related]
8. An improved deep convolutional neural network architecture for chromosome abnormality detection using hybrid optimization model.
Nimitha N; Ezhumalai P; Chokkalingam A
Microsc Res Tech; 2022 Sep; 85(9):3115-3129. PubMed ID: 35708217
[TBL] [Abstract][Full Text] [Related]
9. Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.
Cheng CT; Ho TY; Lee TY; Chang CC; Chou CC; Chen CC; Chung IF; Liao CH
Eur Radiol; 2019 Oct; 29(10):5469-5477. PubMed ID: 30937588
[TBL] [Abstract][Full Text] [Related]
10. Modeling and Fault Detection of Brushless Direct Current Motor by Deep Learning Sensor Data Fusion.
Suawa P; Meisel T; Jongmanns M; Huebner M; Reichenbach M
Sensors (Basel); 2022 May; 22(9):. PubMed ID: 35591209
[TBL] [Abstract][Full Text] [Related]
11. A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance.
Lu H; Ehwerhemuepha L; Rakovski C
BMC Med Res Methodol; 2022 Jul; 22(1):181. PubMed ID: 35780100
[TBL] [Abstract][Full Text] [Related]
12. Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models.
Hardalaç F; Uysal F; Peker O; Çiçeklidağ M; Tolunay T; Tokgöz N; Kutbay U; Demirciler B; Mert F
Sensors (Basel); 2022 Feb; 22(3):. PubMed ID: 35162030
[TBL] [Abstract][Full Text] [Related]
13. AI-driven deep convolutional neural networks for chest X-ray pathology identification.
Albahli S; Ahmad Hassan Yar GN
J Xray Sci Technol; 2022; 30(2):365-376. PubMed ID: 35068415
[TBL] [Abstract][Full Text] [Related]
14. Automatic monitoring and detection of tail-biting behavior in groups of pigs using video-based deep learning methods.
Hakansson F; Jensen DB
Front Vet Sci; 2022; 9():1099347. PubMed ID: 36713870
[TBL] [Abstract][Full Text] [Related]
15. Deep-Pneumonia Framework Using Deep Learning Models Based on Chest X-Ray Images.
Elshennawy NM; Ibrahim DM
Diagnostics (Basel); 2020 Aug; 10(9):. PubMed ID: 32872384
[TBL] [Abstract][Full Text] [Related]
16. Fracture detection in pediatric wrist trauma X-ray images using YOLOv8 algorithm.
Ju RY; Cai W
Sci Rep; 2023 Nov; 13(1):20077. PubMed ID: 37973984
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis.
Muzammel M; Salam H; Othmani A
Comput Methods Programs Biomed; 2021 Nov; 211():106433. PubMed ID: 34614452
[TBL] [Abstract][Full Text] [Related]
19. COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization.
Hamza A; Attique Khan M; Wang SH; Alqahtani A; Alsubai S; Binbusayyis A; Hussein HS; Martinetz TM; Alshazly H
Front Public Health; 2022; 10():948205. PubMed ID: 36111186
[TBL] [Abstract][Full Text] [Related]
20. MR-based synthetic CT generation using a deep convolutional neural network method.
Han X
Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]