In this paper, we are interested in automatic MS lesion segmentation of 2D images using DL approaches. The main challenge is to propose a new model that uses ...
In this paper, we are interested in automatic MS lesion segmentation of 2D images using DL approaches. The main challenge is to propose a new model that uses ...
Oct 8, 2022 · In this paper, we are interested in automatic MS lesion segmentation of 2D images using DL approaches. The main challenge is to propose a new ...
In this work, we have presented and validated MSLAST, a method that automatically detects and segments MS lesions using a single MP2RAGE scan at 7T MRI.
An automated CNN-based approach can quickly provide an independent and deterministic assessment of new or enlarged lesions from baseline to follow-up scans.
Nov 30, 2023 · In this study, an automated 2D machine learning approach for fast and precise segmentation of MS lesions from multi-modal magnetic resonance ...
We describe a new application based on genetic algorithms (GAs) that evolves a Cellular Neural Network (CNN) capable to automatically determine the lesion ...
Missing: convolutional | Show results with:convolutional
Apr 22, 2022 · The current study aims to experimentally evaluate the performance of convolutional neural networks applied to the problem of automatic ...
In this study, we analyzed the effect of intensity domain adaptation on our recently proposed CNN-based MS lesion segmentation method.
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Jul 21, 2022 · In this study, an automated segmentation pipeline with a fully convolutional neural network was used to detect and segment the new lesions ...