1 code implementation • 17 Nov 2023 • Kiran Kokilepersaud, Yash-yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami
In this paper, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning setting.
1 code implementation • 22 Sep 2022 • Mohit Prabhushankar, Kiran Kokilepersaud, Yash-yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, Charles Wykoff
The dataset consists of 1268 near-IR fundus images each with at least 49 OCT scans, and 16 biomarkers, along with 4 clinical labels and a disease diagnosis of DR or DME.
no code implementations • 23 Jun 2022 • Yash-yee Logan, Ryan Benkert, Ahmad Mustafa, Gukyeong Kwon, Ghassan AlRegib
For this purpose, we propose a framework that incorporates clinical insights into the sample selection process of active learning that can be incorporated with existing algorithms.
no code implementations • 21 Jun 2022 • Yash-yee Logan, Mohit Prabhushankar, Ghassan AlRegib
Hence, active learning techniques that are developed for natural images are insufficient for handling medical data.