Work

Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation

Year: 2018

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-00937-3_41

Authors: Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen

Institutions: University of Notre Dame, Mike and Josie Harper Cancer Research Institute

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Semiconductor Research Corporation, National Institutes of Health, Natural Environment Research Council

Awards: II-New: Infrastructure for Supporting Biomedical Application Algorithms, Runtime Development and Resource Management, AF: Small: Algorithms in Computational Geometry and Medical Applications, G4806992380, E2CDA: Type I: EXtremely Energy Efficient Collective ELectronics (EXCEL)

OpenAlex ID: W2810520599

FWCI: 2.411

Cites: 12

Cited by: 65

Related to: 10