FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, making it more applicable in clinical settings. The algorithm outperformed ...
Through a comprehensive evaluation of model complexity and number of parameters, it was determined that the overall performance of the proposed model is the best when eight group convolutions are used ...
A research team developed a fully automated, drone-based phenotyping workflow that can measure key peanut canopy and ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
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