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Found 5 papers, 2 papers with code
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image Classification
It also surpasses the top-performer of either Manifold MixUp or SynerMix-Intra by 0. 12% to 5. 16%, with an average gain of 1. 11%.
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach
Lung cancer, particularly in its advanced stages, remains a leading cause of death globally.
Adaptive Fusion of Radiomics and Deep Features for Lung Adenocarcinoma Subtype Recognition
The most common type of lung cancer, lung adenocarcinoma (LUAD), has been increasingly detected since the advent of low-dose computed tomography screening technology.
One-shot Network Pruning at Initialization with Discriminative Image Patches
Recently, there is a growing belief that data is unnecessary in OPaI.
Spatial-temporal Concept based Explanation of 3D ConvNets
Recent studies have achieved outstanding success in explaining 2D image recognition ConvNets.
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