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Found 4 papers, 0 papers with code
COTR: Convolution in Transformer Network for End to End Polyp Detection
Motivated by the detection transformer (DETR), COTR is constituted by a CNN for feature extraction, transformer encoder layers interleaved with convolutional layers for feature encoding and recalibration, transformer decoder layers for object querying, and a feed-forward network for detection prediction.
Automatic Pulmonary Artery-Vein Separation in CT Images using Twin-Pipe Network and Topology Reconstruction
We propose a novel method for automatic separation of pulmonary arteries and veins from chest CT images.
Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CNN-based Region Growing
To improve the performance of the segmentation result, the CNN-based region growing method is designed to focus on obtaining small branches.
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation
In addition, explanations of CDAM features proved that the shape and density of nodule regions were two critical factors that influence a nodule to be inferred as malignant, which conforms with the diagnosis cognition of experienced radiologists.
