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06/21/2022
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms
Deep convolutional neural networks (CNNs) have been widely used in vario...
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01/25/2022
Virtual Adversarial Training for Semi-supervised Breast Mass Classification
This study aims to develop a novel computer-aided diagnosis (CAD) scheme...
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05/27/2021
Recent advances and clinical applications of deep learning in medical image analysis
Deep learning has become the mainstream technology in computer vision, a...
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03/22/2021
Automatic Pulmonary Artery and Vein Separation Algorithm Based on Multitask Classification Network and Topology Reconstruction in Chest CT Images
With the development of medical computer-aided diagnostic systems, pulmo...
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02/25/2021
Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CNN-based Region Growing
Automatic airway segmentation from chest computed tomography (CT) scans ...
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02/22/2021
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation
Background and Objective:Computer-aided diagnosis (CAD) systems promote ...
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09/01/2020
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images
Background and Objective: Non-invasively predicting the risk of cancer m...
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03/01/2018
SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis
Breast cancer is the second leading cause of cancer death among women wo...
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11/30/2017