Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient‐weighted class activation mapping based deep hybrid model
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22847
Abstract: Urinary system stone disease is a common disease group all over the world. Ureteral stones constitute 20% of all urinary system stones. Ureteral stones are important because they can cause hydronephrosis and related renal parenchymal… read more here.
Keywords: class activation; gradient weighted; hybrid model; hydronephrosis ... See more keywords
Gradient weighted estimates at the natural exponent for quasilinear parabolic equations
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DOI: 10.1016/j.aim.2019.03.015
Abstract: In this paper, we obtain weighted norm inequalities for the spatial gradients of weak solutions to quasilinear parabolic equations with weights in the Muckenhoupt class $A_{\frac{q}{p}}(\mathbb{R}^{n+1})$ for $q\geq p$ on non-smooth domains. Here the quasilinear… read more here.
Keywords: gradient weighted; natural exponent; estimates natural; quasilinear parabolic ... See more keywords
Explainability of three-dimensional convolutional neural networks for functional magnetic resonance imaging of Alzheimer’s disease classification based on gradient-weighted class activation mapping
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DOI: 10.1371/journal.pone.0303278
Abstract: Currently, numerous studies focus on employing fMRI-based deep neural networks to diagnose neurological disorders such as Alzheimer’s Disease (AD), yet only a handful have provided results regarding explainability. We address this gap by applying several… read more here.
Keywords: alzheimer disease; weighted class; explainability; gradient weighted ... See more keywords