3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 3 cited
MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer
Sushmita Sarker, Prithul Sarker, George Bebis +1
Traditional deep learning approaches for breast cancer classification has predominantly concentrated on single-view analysis. In clinical practice, however, radiologists concurrent…
cs.CV2023
Identification of Abnormality in Maize Plants From UAV Images Using Deep Learning Approaches
Aminul Huq, Dimitris Zermas, George Bebis
Early identification of abnormalities in plants is an important task for ensuring proper growth and achieving high yields from crops. Precision agriculture can significantly benefi…
cs.CV2022
Deep Learning Hyperparameter Optimization for Breast Mass Detection in Mammograms
Adarsh Sehgal, Muskan Sehgal, Hung Manh La +1
Accurate breast cancer diagnosis through mammography has the potential to save millions of lives around the world. Deep learning (DL) methods have shown to be very effective for ma…