3 papers
eess.IV2024
A CT Image Denoising Method with Residual Encoder-Decoder Network
Helena Shawn, Thompson Chyrikov, Jacob Lanet +3
Utilizing a low-dose CT approach significantly reduces the radiation exposure for patients, yet it introduces challenges, such as increased noise and artifacts in the resultant ima…
cs.CV2024
The Limits of Perception: Analyzing Inconsistencies in Saliency Maps in XAI
Anna Stubbin, Thompson Chyrikov, Jim Zhao +1
Explainable artificial intelligence (XAI) plays an indispensable role in demystifying the decision-making processes of AI, especially within the healthcare industry. Clinicians rel…
eess.IV2024
A Spectrum-based Image Denoising Method with Edge Feature Enhancement
Peter Luvton, Alfredo Castillejos, Jim Zhao +1
Image denoising stands as a critical challenge in image processing and computer vision, aiming to restore the original image from noise-affected versions caused by various intrinsi…