AutoLNMNet: Automated Network for Estimating Lymph‐Node Metastasis in EGC Using a Pyramid Vision Transformer and Data Derived From Multiphoton Microscopy

Documenti analoghi

• Detection of Lymph Node Metastasis in Thyroid Cancer Using Deep Learning and Second Harmonic Generation Imaging
  di: Han Wu, et al.
  Pubblicazione: (2025)
• Development of Automated High‐Throughput Digital Microscopy With Deep Learning for Enhanced Blood Smear Imaging
  di: Arunnagiri Arasappan Murugesan, et al.
  Pubblicazione: (2025)
• Pharmacognostic Characterization of Primula denticulata by Light Microscopy, Scanning Electron Microscopy, and Analytical Techniques
  di: Kinza Muhammad Din, et al.
  Pubblicazione: (2025)
• Microscopic Characterization of Achillea santolina L. Flower Through Light Microscopy and Scanning Electron Microscopy
  di: Uzma Urooj, et al.
  Pubblicazione: (2024)
• Accuracy of Automatic Quantitative Analysis of Pathological Tissue Images Using ChatGPT Data Analyst: Comparison With Semi‐Automated Analysis in an MC38 Mouse Liver Metastasis Model
  di: Yuta Sannomiya, et al.
  Pubblicazione: (2026)