2 papers
eess.IV2022
Segmentation-Consistent Probabilistic Lesion Counting
Julien Schroeter, Chelsea Myers-Colet, Douglas L Arnold +1
Lesion counts are important indicators of disease severity, patient prognosis, and treatment efficacy, yet counting as a task in medical imaging is often overlooked in favor of seg…
cs.CV2018
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation
Tanya Nair, Doina Precup, Douglas L. Arnold +1
Deep learning (DL) networks have recently been shown to outperform other segmentation methods on various public, medical-image challenge datasets [3,11,16], especially for large pa…