Papers Splenomegaly Segmentation On Multi-Modal Mri
“Splenomegaly Segmentation On Multi-Modal Mri” 태그가 달린 논문 2편 · 필터 해제
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
2018-11-09
· Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez 외
The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomarker for liver and spleen disease. Automated segmentation methods are essential to efficiently quantify splenomegaly from …
SegmentationSplenomegaly Segmentation On Multi-Modal MriAdversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
2017-12-20
· Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad 외
A lack of generalizability is one key limitation of deep learning based segmentation. Typically, one manually labels new training images when segmenting organs in different imaging modalities or segmenting abnormal organ…
Image GenerationImage-to-Image TranslationMedical Image SegmentationSegmentation+1
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