Comparative analysis of cone‐beam breast computed tomography and digital breast tomosynthesis for breast cancer diagnosis: A comprehensive study on reconstruction algorithms

Documenti analoghi

• Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
  di: Teuwen, Jonas, et al.
  Pubblicazione: (2020)
• Efficient breast cancer diagnosis using multi‐level progressive feature aggregation based deep transfer learning system
  di: Vivek Patel, et al.
  Pubblicazione: (2024)
• Multi-modal AI for comprehensive breast cancer prognostication
  di: Witowski, Jan, et al.
  Pubblicazione: (2024)
• An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning
  di: C. Sahaya Pushpa Sarmila Star, et al.
  Pubblicazione: (2024)
• Feasibility study comparing synthesized mammography with digital breast tomosynthesis and digital mammography for simulated first round screening in a single BreastScreen NSW centre
  di: Vikrant Dhurandhar, et al.
  Pubblicazione: (2024)