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The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.
High Accuracy: Deep learning models can achieve state-of-the-art performance on many tasks, often surpassing human-level accuracy in areas like image recognition and language understanding.
Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the disease, but ...
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