UNDERSTANDING TRANSFER LEARNING FOR CHEST RADIOGRAPH CLINICAL REPORT GENERATION WITH MODIFIED TRANSFORMER ARCHITECTURES

Understanding transfer learning for chest radiograph clinical report generation with modified transformer architectures

The image captioning task is increasingly prevalent in artificial intelligence applications for medicine.One Triac important application is clinical report generation from chest radiographs.The clinical writing of unstructured reports is time consuming and error-prone.An automated system would improve standardization, error reduction, time consumpt

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Ultra-Fast Visible Lane Distance Estimation Using a Single Camera

Accurate distance estimation is crucial for ensuring the safety and efficiency of intelligent and future autonomous mobility.In this paper, we propose a method for real-time estimation of Cheese visible lane distance based on image data only from a single camera and an existing road lane marking estimation system.By leveraging camera intrinsic and

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