Titlebook: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016; 19th International C Sebastien Ourselin,Leo Joskowicz,William Wel

exclusice

Fabric

The Automated Learning of Deep Features for Breast Mass Classification from Mammograms,cation results, compared with the machine learning model using hand-crafted features and with deep learning method trained directly for the classification stage without the pre-training stage. We also show that the proposed method produces the current state-of-the-art breast mass classification resu

直覺好

Multimodal Deep Learning for Cervical Dysplasia Diagnosis,vical dysplasia with 87.83?% sensitivity at 90?% specificity on a large dataset, which significantly outperforms methods using any single source of information alone and previous multimodal frameworks.

橫條

malapropism

0302-9743 n and deformation estimation;? shape modeling; cardiac and vascular image analysis; image reconstruction; and MR imageanalysis.978-3-319-46722-1978-3-319-46723-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

neuron

Vulnerary

BLINK

Kevis-Kokitsi Maninis,Jordi Pont-Tuset,Pablo Arbeláez,Luc Van Gooles; and Node 3, lighthouse schools, involved systemic change and leadership opportunities that adapted, demonstrated, and disseminated tested ideas, resources, and strategies to a much broader education community and attempted 978-94-6091-506-2

冒煙

Luyan Liu,Qian Wang,Ehsan Adeli,Lichi Zhang,Han Zhang,Dinggang Shen

顯赫的人

Brent C. Munsell,Guorong Wu,Yue Gao,Nicholas Desisto,Martin Styner