KneeXNeT: An Ensemble-Based Approach for Knee Radiographic Evaluation

Documenti analoghi

• Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST
  di: Wu, Fuping, et al.
  Pubblicazione: (2025)
• Spinal Osteophyte Detection via Robust Patch Extraction on minimally annotated X-rays
  di: Kundu, Soumya Snigdha, et al.
  Pubblicazione: (2024)
• Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis
  di: Bo, Zhiyan, et al.
  Pubblicazione: (2024)
• Exploring the Effectiveness of Deep Features from Domain-Specific Foundation Models in Retinal Image Synthesis
  di: Skorniewska, Zuzanna, et al.
  Pubblicazione: (2025)
• The Role of Radiographic Knee Alignment in Total Knee Replacement Outcomes and Opportunities for Artificial Intelligence-Driven Assessment
  di: Hu, Zhisen, et al.
  Pubblicazione: (2025)