Osamah TY -的A2思•易卜拉欣AU -阴,Chuangao盟——王盟歌-潘,邓PY - 2021 DA - 2021/12/09 TI -计算机断层扫描图像特征介入治疗前后的人工智能算法下的儿童淋巴管瘤SP - 2673013六世- 2021 AB -人工智能算法被用来分析计算机断层扫描(CT)图像的特点介入治疗前后的儿童淋巴管瘤。进行回顾性分析,从医院和30淋巴管瘤的孩子被招募为研究对象。采用超声引导下博来霉素介入治疗和应用CT扫描通过卷积神经网络(CNN)。介入治疗前后CT imaging-related指标检测,并进行特性分析。此外,CNN算法采用段肿瘤的图像更清晰、更准确。同时,CNN骰子相似系数(DSC)算法0.9,更高程度的协议。在临床症状方面,治愈儿童病变消失,恢复正常皮肤表面颜色和治疗是光滑的。在有效治疗的2例,胆囊病变部位明显小,质量和结节消失了。CT图像在介入治疗显示,较大的儿童更常见的脖子。囊性肿块的病变网站不同直径大小,和他们中的大多数是类似于圆形和不规则,密度分布均匀。 The boundary was clear, the cyst was solid, and there were different degrees of compression and spread to the surrounding structure. Most of them were polycystic, and a few of them were single cystic. After interventional treatment, CT images showed that 27 cases of cured children’s lymphangioma completely disappeared. Lymphangioma was significantly reduced in two children with effective treatment. Edema around the tumor also decreased significantly. Patients who did not respond to the treatment received interventional treatment again, and the tumors disappeared completely on CT imaging. No recurrence or new occurrence was found in three-month follow-up. The total effective rate of interventional therapy for lymphangioma in children was 96.67%. The CNN algorithm can effectively compare the CT image features before and after interventional treatment for children’s lymphangioma. It was suggested that the artificial intelligence algorithm-aided CT imaging examination was helpful to guide physicians in the accurate treatment of children’s lymphangioma. SN - 1748-670X UR - https://doi.org/10.1155/2021/2673013 DO - 10.1155/2021/2673013 JF - Computational and Mathematical Methods in Medicine PB - Hindawi KW - ER -