publication . Preprint . Other literature type . Conference object . 2018

Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation

Chichen Fu; Soonam Lee; David Joon Ho; Shuo Han; Paul Salama; Kenneth W. Dunn; Edward J. Delp;
Open Access English
  • Published: 01 Jun 2018
Abstract
Advances in fluorescence microscopy enable acquisition of 3D image volumes with better image quality and deeper penetration into tissue. Segmentation is a required step to characterize and analyze biological structures in the images and recent 3D segmentation using deep learning has achieved promising results. One issue is that deep learning techniques require a large set of groundtruth data which is impractical to annotate manually for large 3D microscopy volumes. This paper describes a 3D deep learning nuclei segmentation method using synthetic 3D volumes for training. A set of synthetic volumes and the corresponding groundtruth are generated using spatially c...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, Microscopy, Image segmentation, Computer vision, Pattern recognition, Solid modeling, Image quality, Fluorescence microscope, Artificial intelligence, business.industry, business, Data set, Segmentation, Computer science, Deep learning
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publication . Preprint . Other literature type . Conference object . 2018

Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation

Chichen Fu; Soonam Lee; David Joon Ho; Shuo Han; Paul Salama; Kenneth W. Dunn; Edward J. Delp;