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End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction
Intensity modulated radiotherapy (IMRT) is one of the most common modalities for treating cancer patients.
Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment
In this contribution, we propose ensemble of two fully convolutional networks for segmentation of kidney, tumor, veins and arteries.
Self-supervised deep convolutional neural network for chest X-ray classification
Chest radiography is a relatively cheap, widely available medical procedure that conveys key information for making diagnostic decisions.
Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints
The results confirm that proposed Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints (SNEL-FS) is able to select the important features and yields superior performance compared to other conventional FS methods.
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