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pro vyhledávání: '"Jones, Craig"'
Galaxies are theorized to form and co-evolve with their dark matter halos, such that their stellar masses and halo masses should be well-correlated. However, it is not known whether other observable galaxy features, such as their morphologies or larg
Externí odkaz:
http://arxiv.org/abs/2407.13735
Brain networks display a hierarchical organization, a complexity that poses a challenge for existing deep learning models, often structured as flat classifiers, leading to difficulties in interpretability and the 'black box' issue. To bridge this gap
Externí odkaz:
http://arxiv.org/abs/2404.10031
Polyp segmentation is a key aspect of colorectal cancer prevention, enabling early detection and guiding subsequent treatments. Intelligent diagnostic tools, including deep learning solutions, are widely explored to streamline and potentially automat
Externí odkaz:
http://arxiv.org/abs/2401.11671
Uncertainty quantification of deep neural networks has become an active field of research and plays a crucial role in various downstream tasks such as active learning. Recent advances in evidential deep learning shed light on the direct quantificatio
Externí odkaz:
http://arxiv.org/abs/2311.11367
Purpose: The aim of this work is to develop a neural network training framework for continual training of small amounts of medical imaging data and create heuristics to assess training in the absence of a hold-out validation or test set. Materials an
Externí odkaz:
http://arxiv.org/abs/2309.14591
Autor:
Feng, Anqi, Johnson, Dimitri, Reilly, Grace R., Thangamathesvaran, Loka, Nampomba, Ann, Unberath, Mathias, Scott, Adrienne W., Jones, Craig
Importance: Ultra-widefield fundus photography (UWF-FP) has shown utility in sickle cell retinopathy screening; however, image artifact may diminish quality and gradeability of images. Objective: To create an automated algorithm for UWF-FP artifact c
Externí odkaz:
http://arxiv.org/abs/2307.05780