Ultrasound (US) is a widely popular imaging technique for the diagnosis of tumors and associated soft tissue pathology. Traditionally, excised tumor masses are manually sliced for microscopic examination, which is a resource-intensive, time-consuming process, and prone to human error. The proposed work addresses these challenges by developing a cost-effective US gantry system integrated with a deep learning algorithm to automate the tissue slice selection process. This system scans the entire tumor and by integrating a deep learning algorithm predicts the optimal slice to assist its preparation for microscopic analysis.
发布者：Dr.Durant，转转请注明出处：https://robotalks.cn/design-and-implementation-of-a-low-cost-gimbal-based-angular-ultrasound-gantry-for-optimal-tissue-slice-selection-using-deep-learning/
