Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI.
Tomomi TakenagaShouhei HanaokaYukihiro NomuraTakahiro NakaoHisaichi ShibataSoichiro MikiTakeharu YoshikawaNaoto HayashiOsamu AbePublished in: International journal of computer assisted radiology and surgery (2021)
We proposed the simultaneous detection and classification of a focal liver lesion in Gd-EOB-DTPA-enhanced MRI using multichannel 3D FC-ResNet. Our results indicated simultaneous detection and classification are possible using a single network. It is necessary to further improve detection sensitivity to help radiologists.