PathologyBERT -- Pre-trained Vs. A New Transformer Language Model for Pathology Domain

no code implementations • 13 May 2022 • Thiago Santos, Amara Tariq, Susmita Das, Kavyasree Vayalpati, Geoffrey H. Smith, Hari Trivedi, Imon Banerjee

Pathology text mining is a challenging task given the reporting variability and constant new findings in cancer sub-type definitions.

Language Modelling Natural Language Understanding

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms

no code implementations • 8 Feb 2022 • Jiwoong J. Jeong, Brianna L. Vey, Ananth Reddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey Smith, Minjae Woo, Christopher R. McAdams, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi

Developing and validating artificial intelligence models in medical imaging requires datasets that are large, granular, and diverse.

A Convergence indicator for Multi-Objective Optimisation Algorithms

no code implementations • 29 Oct 2018 • Thiago Santos, Sebastiao Xavier

The algorithms of multi-objective optimisation had a relative growth in the last years.