A Computer Vision and Machine Learning Approach to Classify Views in Distal Radius Radiographs

Documenti analoghi

• Radiograph‐Based Radiomics Successfully Classify MRI‐Based Identification of Femoral Loosening in Patients With Total Hip Arthroplasty—A Preliminary Study
  di: Jack Consolini, et al.
  Pubblicazione: (2025)
• Comparison of Marker‐Based RSA and CT‐RSA for Analyzing Micromotions After Distal Radius Osteotomy: A 1‐Year Retrospective Study of 24 Patients
  di: Vasileios Angelomenos, et al.
  Pubblicazione: (2024)
• Correction to “Radiograph‐Based Radiomics Successfully Classify MRI‐Based Identification of Femoral Loosening in Patients With Total Hip Arthroplasty—A Preliminary Study”
  Pubblicazione: (2026)
• Machine Learning Model for Selection of Cementless Total Knee Arthroplasty Candidates Utilizing Patient and Radiographic Parameters
  di: Anna E. Duncan, et al.
  Pubblicazione: (2025)
• In Vivo Assessment of Distal Femur Fracture Motion via Weightbearing CT
  di: William D. Lack, et al.
  Pubblicazione: (2026)