1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging
Chi-en Amy Tai, Hayden Gunraj, Alexander Wong
The prevalence of breast cancer continues to grow, affecting about 300,000 females in the United States in 2023. However, there are different levels of severity of breast cancer re…
eess.IV2023★ 1 cited
A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data
Chi-en Amy Tai, Hayden Gunraj, Alexander Wong
Recently, a new form of magnetic resonance imaging (MRI) called synthetic correlated diffusion (CDI) imaging was introduced and showed considerable promise for clinical decisio…
cs.CV2022
Enhancing Clinical Support for Breast Cancer with Deep Learning Models using Synthetic Correlated Diffusion Imaging
Chi-en Amy Tai, Hayden Gunraj, Nedim Hodzic +3
Breast cancer is the second most common type of cancer in women in Canada and the United States, representing over 25\% of all new female cancer cases. As such, there has been imme…