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Found 5 papers, 1 papers with code
Segmentation of Aortic Vessel Tree in CT Scans with Deep Fully Convolutional Networks
Automatic and accurate segmentation of aortic vessel tree (AVT) in computed tomography (CT) scans is crucial for early detection, diagnosis and prognosis of aortic diseases, such as aneurysms, dissections and stenosis.
CSDN: Combing Shallow and Deep Networks for Accurate Real-time Segmentation of High-definition Intravascular Ultrasound Images
In this paper, we propose a two-stream framework for efficient segmentation of 60 MHz high resolution IVUS images.
Extraction of Pulmonary Airway in CT Scans Using Deep Fully Convolutional Networks
And then another one 3D FCN is trained to segment pulmonary airway in a fine resolution.
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification
Then, in order to alleviate the overfitting problem in two-dimensional network, we initialize AlexNet-like network with weights trained on ImageNet, to fit the training ECG images and fine-tune the model, and to further improve the accuracy and robustness of ECG classification.
A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation
The computer-aided diagnosis (CAD) systems can highly improve the reliability and efficiency of melanoma recognition.
