Multimodal Correlative Preclinical Whole Body Imaging and Segmentation

  title={Multimodal Correlative Preclinical Whole Body Imaging and Segmentation},
  author={Ayelet Akselrod-Ballin and Hagit Dafni and Yoseph Addadi and Inbal E. Biton and Reut Avni and Yafit Brenner and Michal Neeman},
  journal={Scientific Reports},
Segmentation of anatomical structures and particularly abdominal organs is a fundamental problem for quantitative image analysis in preclinical research. This paper presents a novel approach for whole body segmentation of small animals in a multimodal setting of MR, CT and optical imaging. The algorithm integrates multiple imaging sequences into a machine learning framework, which generates supervoxels by an efficient hierarchical agglomerative strategy and utilizes multiple SVM-kNN classifiers… 

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