One of the main challenges in computer vision is image classification.Nowadays the number of images increases exponentially every day; therefore, it is important to classify Merchandise them in a reliable way.The conventional image classification pipeline usually consists on extracting local image features, encoding them as a feature vector and cla
Survival Prediction for Non-Small Cell Lung Cancer Based on Multimodal Fusion and Deep Learning
Non-small cell Lung Cancer (NSCLC) is one of the most common types of lung cancer, accounting for approximately 80% to 85% of lung cancer cases, and survival prediction in this cancer is an essential medical task.Traditional survival prediction methods, which only rely on demographic and clinical variables, fail to fully characterize patientsȁ
Application of Scenario Analysis and Multiagent Technique in Land-Use Planning: A Case Study on Sanjiang Wetlands
Land-use planning has triggered debates on social and environmental values, in which two key questions will be faced: one is how to see different planning simulation results instantaneously and apply the results back to interactively assist planning work; the other is how to ensure that the planning simulation result is scientific and accurate.To a
Clinical outcomes of low and intermediate risk differentiated thyroid cancer patients treated with 30mCi for ablation or without radioactive iodine therapy
ABSTRACT Objective To retrospectively evaluate the outcomes of patients with low and intermediate risk thyroid carcinoma treated with total thyroidectomy (TT) and who did not undergo radioiodine remnant ablation (RRA) and to compare them to patients receiving low dose of iodine (30 mCi).Subjects and Storage Crate methods A total of 189 differentiat