1. Deep Learning Technology and Image Sensing.
- Author
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Lee, Suk-Ho and Kang, Dae-Ki
- Subjects
CONVOLUTIONAL neural networks ,OBJECT recognition (Computer vision) ,ACOUSTIC imaging ,IMAGE recognition (Computer vision) ,ARTIFICIAL intelligence ,DEEP learning ,IMAGE enhancement (Imaging systems) - Abstract
This document discusses the advancements in deep learning technology and image sensing. It highlights the role of deep learning in improving image recognition data and sensor performance in various applications, such as autonomous driving and smartphone camera functionalities. The document presents eleven papers published in a special issue on deep learning technology and image sensing, covering topics like medical imaging, image enhancement, object detection, and innovation in image sensing technologies. The papers demonstrate innovative approaches and methodologies in diverse domains, including liver segmentation, brain tumor classification, optic cup and disc edge detection, image-to-image translation in astronomy, super-resolution imaging, and object detection systems. These studies contribute to the interdisciplinary field of deep learning-based imaging and sensing and offer valuable insights for various fields, including healthcare, astronomy, and robotics. [Extracted from the article]
- Published
- 2024
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