Enhancing Interpretability in DL Models for Breast Cancer Detection
Acadia CS research uses deep learning to improve early breast cancer detection and diagnosis.
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A Comparison of Autoencoders and Variational Autoencoders for Anomaly Detection in Dermoscopic Images
Acadia CS research compares deep learning models for detecting skin cancer from dermoscopic images, working towards more accurate and automated diagnoses.
Talk: Advancing Fruit Breeding using Computational Tools
Dr. Zoë Migicovsky presents a talk on using computational tools to advance fruit breeding on Wednesday, November 6th at 2:30pm in CAR113.
Read more … Talk: Advancing Fruit Breeding using Computational Tools