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T1  - OpSeF : Open Source Python Framework for Collaborative Instance Segmentation of Bioimages 
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UR  - http://hdl.handle.net/10138/321197 
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A1  - Rasse, Tobias M.; Hollandi, Reka; Horvath, Peter 
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Y1  - 2020 
LA  - eng 
AB  - Various pre-trained deep learning models for the segmentation of bioimages have been made available as developer-to-end-user solutions. They are optimized for ease of use and usually require neither knowledge of machine learning nor coding skills. However, individually testing these tools is tedious and success is uncertain. Here, we present the Open Segmentation Framework (OpSeF), a Python framework for deep learning-based instance segmentation. OpSeF aims at facilitating the collaboration of b... 
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KW  - deep learning; biomedical image analysis; segmentation; convolutional neural network; U-net; cellpose; StarDist; python; NUCLEUS SEGMENTATION; IMAGE; MICROSCOPY; PLATFORM; 1182 Biochemistry, cell and molecular biology; 113 Computer and information sciences 
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