This paper is in the following e-collection/theme issue:

#xInfectiousDiseases (36)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2024.08.02.24311396v1, first published .
Improving Tuberculosis Detection in Chest X-Ray Images Through Transfer Learning and Deep Learning: Comparative Study of Convolutional Neural Network Architectures

Improving Tuberculosis Detection in Chest X-Ray Images Through Transfer Learning and Deep Learning: Comparative Study of Convolutional Neural Network Architectures

Improving Tuberculosis Detection in Chest X-Ray Images Through Transfer Learning and Deep Learning: Comparative Study of Convolutional Neural Network Architectures

Authors of this article:

Alex Mirugwe1 Author Orcid Image ;   Lillian Tamale2 Author Orcid Image ;   Juwa Nyirenda3 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Pitakaso R. Peer Review of “Improving Tuberculosis Detection in Chest X-Ray Images Through Transfer Learning and Deep Learning: Comparative Study of Convolutional Neural Network Architectures”. JMIRx Med 2025;6:e77171 View
  2. Mirugwe A, Tamale L, Nyirenda J. Authors’ Response to Peer Reviews of “Improving Tuberculosis Detection in Chest X-Ray Images Through Transfer Learning and Deep Learning: Comparative Study of Convolutional Neural Network Architectures”. JMIRx Med 2025;6:e77221 View
  3. Nanthasamroeng N. Peer Review of “Improving Tuberculosis Detection in Chest X-Ray Images Through Transfer Learning and Deep Learning: Comparative Study of Convolutional Neural Network Architectures”. JMIRx Med 2025;6:e77174 View
  4. Liu J, Sun P, Yuan Y, Chen Z, Tian K, Gao Q, Li X, Xia L, Zhang J, Xu N. YOLOv12 Algorithm-Aided Detection and Classification of Lateral Malleolar Avulsion Fracture and Subfibular Ossicle Based on CT Images: Multicenter Study. JMIR Medical Informatics 2025;13:e79064 View