132 related articles for article (PubMed ID: 37559842)
1. Deep Learning Classification of Tuberculosis Chest X-rays.
Goswami KK; Kumar R; Kumar R; Reddy AJ; Goswami SK
Cureus; 2023 Jul; 15(7):e41583. PubMed ID: 37559842
[TBL] [Abstract][Full Text] [Related]
2. Utilizing Deep Learning for X-ray Imaging: Detecting and Classifying Degenerative Spinal Conditions.
Ghauri MS; Reddy AJ; Tak N; Tabaie EA; Ramnot A; Riazi Esfahani P; Nawathey N; Siddiqi J
Cureus; 2023 Jul; 15(7):e41582. PubMed ID: 37559851
[TBL] [Abstract][Full Text] [Related]
3. Deep learning-based automatic detection of tuberculosis disease in chest X-ray images.
Showkatian E; Salehi M; Ghaffari H; Reiazi R; Sadighi N
Pol J Radiol; 2022; 87():e118-e124. PubMed ID: 35280947
[TBL] [Abstract][Full Text] [Related]
4. AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model.
Acharya V; Dhiman G; Prakasha K; Bahadur P; Choraria A; M S; J S; Prabhu S; Chadaga K; Viriyasitavat W; Kautish S
Comput Intell Neurosci; 2022; 2022():2399428. PubMed ID: 36225551
[TBL] [Abstract][Full Text] [Related]
5. Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review.
Hansun S; Argha A; Liaw ST; Celler BG; Marks GB
J Med Internet Res; 2023 Jul; 25():e43154. PubMed ID: 37399055
[TBL] [Abstract][Full Text] [Related]
6. Chest X-ray interpretation does not complement Xpert MTB/RIF in diagnosis of smear-negative pulmonary tuberculosis among TB-HIV co-infected adults in a resource-limited setting.
Nakiyingi L; Bwanika JM; Ssengooba W; Mubiru F; Nakanjako D; Joloba ML; Mayanja-Kizza H; Manabe YC
BMC Infect Dis; 2021 Jan; 21(1):63. PubMed ID: 33435896
[TBL] [Abstract][Full Text] [Related]
7. Proposing a novel multi-instance learning model for tuberculosis recognition from chest X-ray images based on CNNs, complex networks and stacked ensemble.
Khatibi T; Shahsavari A; Farahani A
Phys Eng Sci Med; 2021 Mar; 44(1):291-311. PubMed ID: 33616887
[TBL] [Abstract][Full Text] [Related]
8. CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays.
Malik H; Anees T; Din M; Naeem A
Multimed Tools Appl; 2023; 82(9):13855-13880. PubMed ID: 36157356
[TBL] [Abstract][Full Text] [Related]
9. Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays.
Karki M; Kantipudi K; Yang F; Yu H; Wang YXJ; Yaniv Z; Jaeger S
Diagnostics (Basel); 2022 Jan; 12(1):. PubMed ID: 35054355
[TBL] [Abstract][Full Text] [Related]
10. Drug-Resistant Tuberculosis Treatment Recommendation, and Multi-Class Tuberculosis Detection and Classification Using Ensemble Deep Learning-Based System.
Prasitpuriprecha C; Jantama SS; Preeprem T; Pitakaso R; Srichok T; Khonjun S; Weerayuth N; Gonwirat S; Enkvetchakul P; Kaewta C; Nanthasamroeng N
Pharmaceuticals (Basel); 2022 Dec; 16(1):. PubMed ID: 36678508
[TBL] [Abstract][Full Text] [Related]
11. An efficient deep learning-based framework for tuberculosis detection using chest X-ray images.
Iqbal A; Usman M; Ahmed Z
Tuberculosis (Edinb); 2022 Sep; 136():102234. PubMed ID: 35872406
[TBL] [Abstract][Full Text] [Related]
12. CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV.
Rajpurkar P; O'Connell C; Schechter A; Asnani N; Li J; Kiani A; Ball RL; Mendelson M; Maartens G; van Hoving DJ; Griesel R; Ng AY; Boyles TH; Lungren MP
NPJ Digit Med; 2020; 3():115. PubMed ID: 32964138
[TBL] [Abstract][Full Text] [Related]
13. Multiclass Classification for Detection of COVID-19 Infection in Chest X-Rays Using CNN.
Alharbi RS; Alsaadi HA; Manimurugan S; Anitha T; Dejene M
Comput Intell Neurosci; 2022; 2022():3289809. PubMed ID: 35965768
[TBL] [Abstract][Full Text] [Related]
14. Artificial Intelligence Assisting the Early Detection of Active Pulmonary Tuberculosis From Chest X-Rays: A Population-Based Study.
Nijiati M; Ma J; Hu C; Tuersun A; Abulizi A; Kelimu A; Zhang D; Li G; Zou X
Front Mol Biosci; 2022; 9():874475. PubMed ID: 35463963
[TBL] [Abstract][Full Text] [Related]
15. Tuberculosis detection in chest X-ray using Mayfly-algorithm optimized dual-deep-learning features.
Rajakumar MP; Sonia R; Uma Maheswari B; Karuppiah SP
J Xray Sci Technol; 2021; 29(6):961-974. PubMed ID: 34459432
[TBL] [Abstract][Full Text] [Related]
16. Chest X-ray Classification Using Deep Learning for Automated COVID-19 Screening.
Shelke A; Inamdar M; Shah V; Tiwari A; Hussain A; Chafekar T; Mehendale N
SN Comput Sci; 2021; 2(4):300. PubMed ID: 34075355
[TBL] [Abstract][Full Text] [Related]
17. Chest X-ray-based opportunistic screening of sarcopenia using deep learning.
Ryu J; Eom S; Kim HC; Kim CO; Rhee Y; You SC; Hong N
J Cachexia Sarcopenia Muscle; 2023 Feb; 14(1):418-428. PubMed ID: 36457204
[TBL] [Abstract][Full Text] [Related]
18. Deep learning for automated classification of tuberculosis-related chest X-Ray: dataset distribution shift limits diagnostic performance generalizability.
Sathitratanacheewin S; Sunanta P; Pongpirul K
Heliyon; 2020 Aug; 6(8):e04614. PubMed ID: 32775757
[TBL] [Abstract][Full Text] [Related]
19. DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays.
Malik H; Naeem A; Naqvi RA; Loh WK
Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679541
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]