使用基于深度卷积神经网络的囊内镜图像进行小肠原发性毛囊性淋巴瘤的疾病监测评估 (含视频)
Akihiko Sumioka1, Akiyoshi Tsuboi2, Shiro Oka1
1Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan.
Gastrointestinal endoscopy
|July 23, 2023
概括
一个深层卷积神经网络 (CNN) 系统有助于使用囊内镜 (CE) 图像对小肠原发性毛囊性淋巴瘤 (FL) 的疾病监测. 它的有效性取决于精良的小肠清洁,以准确检测FL.
科学领域:
- 胃肠病学 胃肠病学
- 在瘤学瘤学.
- 人工智能的人工智能
背景情况:
- 囊内镜 (CE) 对于监测小肠原发性毛囊性淋巴瘤 (FL) 是有价值的.
- 通过CE对FL进展的客观评估可能具有挑战性.
- 本研究使用CE图像评估FL监测的深卷积神经网络 (CNN).
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