Oral Presentation Australasian Melanoma Conference 2026

Development and validation of a deep learning model with enhanced explainability for interpreting melanocytic tumour pathologies. (#54)

Nigel G Maher 1 2 3 , Xiaohang Fu 1 2 3 , Emily L Clarke 4 5 , Lucy Godson 4 6 , Darren Treanor 4 5 7 , Dianella Iglesias 8 , Carla Daniela Robles-Espinoza 8 , Héctor Martínez-Said 9 , Richard A Scolyer 1 2 3 10 , Ismael A Vergara 1 2 3
  1. Melanoma Institute Australia, Camperdown, NSW, Australia
  2. Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
  3. Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
  4. Histopathology Department and National Pathology Imaging Cooperative, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
  5. Division of Pathology and Data Analytics, University of Leeds, Leeds, United Kingdom
  6. Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom
  7. Departments of Clinical Pathology, and Clinical and Experimental Medicine and Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
  8. Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
  9. Surgical Oncology, Skin, Soft Tissue & Bone Tumors Department, National Cancer Institute, Mexico City, Mexico
  10. Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, NSW, Australia
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