2 papers
eess.IV2024
Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms
Aditya Jonnalagadda, Bruno B. Barufaldi, Andrew D. A. Maidment +3
Model observers are computational tools to evaluate and optimize task-based medical image quality. Linear model observers, such as the Channelized Hotelling Observer (CHO), predict…
cs.HC2024
Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images
Devi Klein, Srijita Karmakar, Aditya Jonnalagadda +2
Purpose: Radiologists are tasked with visually scrutinizing large amounts of data produced by 3D volumetric imaging modalities. Small signals can go unnoticed during the 3d search…