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A vision chip with complementary pathways for open-world sensing

Image sensors face substantial challenges when dealing with dynamic, diverse and unpredictable scenes in open-world applications. However, the development of image sensors towards high speed, high resolution, large dynamic range and high precision is limited by power and bandwidth. Here we present a complementary sensing paradigm inspired by the human visual system that involves parsing visual information into primitive-based representations and assembling these primitives to form two complementary vision pathways: a cognition-oriented pathway for accurate cognition and an action-oriented pathway for rapid response. To realize this paradigm, a vision chip called Tianmouc is developed, incorporating a hybrid pixel array and a parallel-and-heterogeneous readout architecture. Leveraging the characteristics of the complementary vision pathway, Tianmouc achieves high-speed sensing of up to 10,000 fps, a dynamic range of 130 dB and an advanced figure of merit in terms of spatial ....

Optik Photonik , International Conference On Computer Visionand Pattern Recognition , International Conference Proc , International Image Sensor Workshop , International Solid , International Conference On Computer Vision , Electron Devices , High Performance Silicon Imaging , Integrated Imaging , Vision Techniques , Industrial Inspection , Signal Processing , Digital Still Cameras , Computer Visionand Pattern Recognition , Computer Vision , Pattern Recognition , Vehicles Symposium , Def Con , Dataset Shift , Machine Learning , Mit Press , Stereoscopic Vision , Solid State Circuits Conference , Integrated Circuits Conference , State Circuits , Solid State Circuits ,

X-ray vision: Tech could improve efficiency of pelvic fracture surgery

Machine learning could help improve efficiency of pelvic fracture surgery ....

British Columbia , Benjamin Killeen , Russell Taylor , Mehran Armand , Zhan Zhang , Jan Mangulabnan , Mathias Unberath , Greg Osgood , Byjaimie Pattersonpublished , International Conference On Medical Image Computing , Whiting School Of Engineering , Johns Hopkins Department Of Orthopaedic Surgery , Department Of Computer Science , Researchers At Johns Hopkins University , School Of Medicine , Laboratory For Computational Sensing , Johns Hopkins University , Whiting School , International Conference , Medical Image Computing , Computer Assisted Intervention , Computer Science , Advanced Robotics , Computationally Augmented Environments , Computational Sensing , Johns Hopkins Department ,

Machine learning could improve efficiency of X-ray-guided pelvic fracture surgery

Machine learning could improve efficiency of X-ray-guided pelvic fracture surgery
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British Columbia , Benjamind Killeen , Mathias Unberath , Benjamin Killeen , Department Of Computer Science , Whiting School Of Engineering , Johns Hopkins University , School Of Medicine , Researchers At Johns Hopkins University , International Conference On Medical Image Computing , Johns Hopkins , Whiting School , International Conference , Medical Image Computing , Computer Assisted Intervention , Computer Science , Advanced Robotics , Computationally Augmented Environments , Surgical Phase Recognition , X Ray Images , Percutaneous Pelvic Fixation ,

High-precision superimposition of X-ray fluoroscopic images and 3D CT data

High-precision superimposition of X-ray fluoroscopic images and 3D CT data
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Pragyan Shrestha , University Of Tsukuba , Medical Image Computing , Computer Assisted Intervention , Registration Using Scene Coordinate Regression ,

Researchers develop AI technology for image recognition in the medical field

Researchers develop AI technology for image recognition in the medical field
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Myeongkyun Kang , Daegu Gyeongbuk Institute Of Science , Professor Park Of The Department Robotics , Stanford University , Sang Hyun Park , Professor Sang Hyun Park , Artificial Intelligence , Daegu Gyeongbuk Institute , Mechanical Engineering , Professor Park , Medical Image Computing , Computer Assisted Intervention , One Shot Federated Learning , Medical Data Using Knowledge Distillation , Image Synthesis , Client Model Adaptation ,