Medical device companies face increasing pressure to bring products to market that meet strict safety and performance ...
The inspector general’s review will run alongside the Army’s own internal evaluation to reinforce “institutional ...
Background: The performance of a classification algorithm eventually reaches a point of diminishing returns, where the additional sample added does not improve the results. Thus, there is a need to ...
Abstract: Currently, the medical image classification is challenged by performance degradation due to imbalanced data. Balancing the data through sample augmentation proves to be an effective solution ...
This repository contains the code to train ConvNeXt models on 3D NIfTI images or 2D slices derived from these images. The script allows you to customize various aspects of the training process, ...
Abstract: In recent years, supervised learning using convolutional neural networks (CNN) has served as a benchmark for various medical image segmentation and classification. However, supervised ...
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