New LaryngealCT Dataset Benchmarks Deep Learning for Cancer Staging

Researchers have developed LaryngealCT, a new benchmark dataset for staging laryngeal cancer using deep learning models. The dataset comprises 1,029 CT scans aggregated from The Cancer Imaging Archive and has been used to benchmark six different 3D deep learning architectures. The custom 3D CNN achieved the highest performance in classifying early versus advanced stages of the cancer, while other models showed promise in identifying T4 stage disease, though sensitivity for this advanced stage remains a challenge. AI

IMPACT Establishes a reproducible benchmark for AI-driven laryngeal cancer staging, potentially accelerating clinical decision-making.

RANK_REASON The cluster contains an academic paper detailing a new dataset and benchmarking of deep learning models for a specific medical application. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• 3D-convolutional neural network
• DenseNet121
• GradCAMpp
• LaryngealCT
• MedicalNet
• Nivea Roy
• ResNet101
• ResNet18
• ResNet50
• The Cancer Imaging Archive

• paper
• product

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