2 code implementations • 2 Oct 2023 • Mohammed Baharoon, Hessa Almatar, Reema Alduhayan, Tariq Aldebasi, Badr Alahmadi, Yahya Bokhari, Mohammed Alawad, Ahmed Almazroa, Abdulrhman Aljouie
Our MMDL system uses RETFound, a foundation model pre-trained on 1. 6 million retinal images, for the fundus path and a fully connected neural network for the age and gender path.
no code implementations • 5 Jan 2021 • Mohammed Alawad, Shang Gao, Mayanka Chandra Shekar, S. M. Shamimul Hasan, J. Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jennifer Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia Tourassi
Word embeddings that effectively capture the meaning and context of the word that they represent can significantly improve the performance of downstream DL models for various NLP tasks.