首页|Chongqing Normal University Researcher Releases New Study Findings on Pattern Re cognition and Artificial Intelligence (Medical Image Segmentation with Dual-Enco ding and Multi-Level Feature Adaptive Fusion)
Chongqing Normal University Researcher Releases New Study Findings on Pattern Re cognition and Artificial Intelligence (Medical Image Segmentation with Dual-Enco ding and Multi-Level Feature Adaptive Fusion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on pattern recognition an d artificial intelligence is the subject of a new report. According to news orig inating from Chongqing, People’s Republic of China, by NewsRx editors, the resea rch stated, “Accurate segmentation of medical images is critical for disease dia gnosis, surgical planning and prognostic assessment. TransUNet, a hybrid CNN-Tra nsformer-based method, extracts local features using CNN and compensates for the lack of long-range dependencies through a self-attention mechanism.”
Chongqing Normal UniversityChongqingPeople’s Republic of ChinaAsiaMachine LearningPattern Recognition and Arti ficial Intelligence
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