Development of a computer-aided device for ultra-low-dose CT screening for lung cancer and differential diagnosis of lung nodules using AI

开发用于肺癌超低剂量CT筛查和肺结节AI鉴别诊断的计算机辅助设备

• 批准号: 18K07675
• 负责人: Takenaka Daisuke
• 金额: $ 2.83万
• 依托单位: Kobe University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2018
• 资助国家: 日本
• 起止时间: 2018-04-01 至 2022-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-18K07675/
• 关键词: 放射線医学; CT; 人工知能; 被曝線量低減; 画像診断支援; 肺癌検診; 低線量CT; AI; Deep Learning

项目成果

Capability of Quantitative Assessment of Subsegmental Bronchi on Thin-Section CT to Evaluate the Therapeutic Effects in Patients with Pulmonary Lymphangitis Carcinomatosa

薄层CT定量评估亚段支气管评价癌性肺淋巴管炎疗效的能力

• 发表时间: 2019
• 作者: Daisuke Takenaka;Yoshiharu Ohno;Chika Tanaka;Erika Matsushiro;Ayumi Higashida;Tomohisa Hashimoto;Hiroaki Maeda;Setsu Sakamoto;Miyako Satouchi
• 通讯作者: Miyako Satouchi

Comparison of Capability for Nodule Component Measurement and Management on Follow-Up CT Examinations between 3D CADv Systems with and without CNN

带 CNN 和不带 CNN 的 3D CADv 系统在后续 CT 检查中的结节成分测量和管理能力比较

• 发表时间: 2019
• 作者: Yoshiharu Ohno;Atsushi Yaguchi;Kota Aoyagi;Yuji Kishida;Shinichiro Seki;Yoshiko Ueno;Takeshi Yoshikawa;akamichi Murakami
• 通讯作者: akamichi Murakami

3D CADv System with and without CNN: Comparison of Nodule Component Measurement Accuracy and Differentiation in Routine Clinical Practice Data

带和不带 CNN 的 3D CADv 系统：常规临床实践数据中结节成分测量精度和区分度的比较

• 发表时间: 2020
• 作者: Ohno Y;Aoyagi K;Kishida Y;Seki S;Ueno Y;Yaguchi A;Takenaka D;Yoshikawa T
• 通讯作者: Yoshikawa T

Radiation dose reduction techniques for chest CT: Principles and clinical results

• DOI: 10.1016/j.ejrad.2018.12.017
• 发表时间: 2019-02-01
• 期刊: EUROPEAN JOURNAL OF RADIOLOGY
• 影响因子: 3.3
• 作者: Ohno, Yoshiharu;Koyama, Hisanobu;Yoshikawa, Takeshi
• 通讯作者: Yoshikawa, Takeshi

Machine Learning for Lung CT Texture Analysis in Connective Tissue Disease: Capability for Disease Severity and Therapeutic Effect Evaluations.

用于结缔组织疾病肺部 CT 纹理分析的机器学习：疾病严重程度和治疗效果评估的能力。

• 发表时间: 2021
• 作者: Ohno Y;Aoyagi K;Takenaka D;Yoshikawa T;Fujisawa Y;Sugihara N;Hattori H;Murayama K;Toyama H
• 通讯作者: Toyama H