首页> 外文会议>International Conference on Image Analysis and Recognition >Discovery Radiomics for Detection of Severely Atypical Melanocytic Lesions (SAML) from Skin Imaging via Deep Residual Group Convolutional Radiomic Sequencer
【24h】

Discovery Radiomics for Detection of Severely Atypical Melanocytic Lesions (SAML) from Skin Imaging via Deep Residual Group Convolutional Radiomic Sequencer

机译:通过深残留群卷积射系序列检测从皮肤成像检测严重非典型黑素细胞病变(SAML)的发现射线

获取原文

摘要

The incidence of severely atypical melanocytic lesions (SAML) has been increasing year after year. Early detection of SAML by skin surveillance followed by biopsy and treatment may improve survival and reduce the burden on health care systems. Discovery radiomics can be used to analyze a variety of quantitative features present in pigmented lesions that determine which lesions demonstrate enough atypical changes to pursue medical attention. This study utilizes a novel deep residual group convolutional radiomic sequencer to assess SAML. The discovery radiomic sequencer was evaluated against over 18,000 dermoscopic images of different atypical nevi to achieve a sensitivity of 90% and specificity of 83%. Furthermore, the radiomic sequences produced using the novel deep residual group convolutional radiomic sequencer are visualized and analyzed via t-SNE analysis.
机译:严重非典型黑色细胞病变(SAML)的发病率一年后一直在增加。早期检测SAML通过皮肤监测,然后进行活组织检查和治疗,可以改善生存并减少医疗保健系统的负担。发现射线学可用于分析着色病变中存在的各种定量特征,确定哪些病变表现出足够的非典型变化以追求医疗注意力。该研究利用新的深度残留群卷积射出量序列来评估SAML。评估发现的射线测定仪对不同非典型内华的18,000多种Dermicopopic图像,以达到90%和特异性的敏感性83%。此外,通过T-SNE分析可视化和分析使用新型深度残留群卷积射线测定器产生的射出序列。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号