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Apr, 2017
级联深度残差网络自动肝脏病变检测
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
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Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng
TL;DR
本研究采用一种基于深度残余网络 (ResNet) 的肝脏病变分割方法,通过级联ResNet架构和多尺度融合生成更精确的边界定义,该方法在 ISBI 2017 肝脏瘤分割挑战中获得第四名。
Abstract
Automatic
segmentation
of
liver lesions
is a fundamental requirement towards the creation of computer aided diagnosis (CAD) and decision support systems (CDS). Traditional
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