MedAI #85: The EMory BrEast imaging Dataset (EMBED) | Jiwoong Jason Jeong

preview_player
Показать описание
Title: The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images

Speaker: Jiwoong Jeong

Abstract:
Breast cancer detection remains one of the most frequent commercial and research applications for deep learning (DL) in radiology. Development of DL models to improve breast cancer screening requires robustly curated and demographically diverse datasets to ensure generalizability. However, most publicly released breast cancer datasets are ethnically and racially homogeneous, are relatively small, and lack image annotations and/or pathologic data. While many mammographic datasets are available, they either lack semantic imaging descriptors (OMI-DB) or are not full-field digital mammograms (CBIS-DDSM) along with the underrepresentation of minority patients. As such, we created the EMory BrEast imaging Dataset (EMBED) contains lesion-level annotations, pathologic outcomes, and demographic information for 116 000 patients from racially diverse backgrounds and will help bridge the existing gaps in granularity, diversity, and scale in breast imaging datasets.

Speaker Bio:
Jiwoong Jason Jeong is a third year PhD student at ASU’s School of Computing and Augmented Intelligence, advised by Dr. Imon Banerjee. His primary research interests lies in using generative models to handle data imbalance problems in classification tasks but also focuses on the application and deployment of classification models in healthcare.

------

The MedAI Group Exchange Sessions are a platform where we can critically examine key topics in AI and medicine, generate fresh ideas and discussion around their intersection and most importantly, learn from each other.

We will be having weekly sessions where invited speakers will give a talk presenting their work followed by an interactive discussion and Q&A. Our sessions are held every Thursday from 1pm-2pm PST.

Рекомендации по теме