Review on Cloud-Based Image Classification
Keywords:
CNN, Cloud Based Image Analysis, Morphological Analysis, IMACELAbstract
Automated quantitative image analysis is important for all fields of bioscience research. Though many software programs and algorithms have been developed for bio image processing, a sophisticated knowledge of image processing methods and high-performance computing resources are needed to use them. So, a cloud-based image analysis platform was developed, known as IMACEL that includes morphological analysis and machine learning-based image classification. The distinctive click-based UI of IMACEL’s morphological analysis framework allows researchers with lesser resources to evaluate particles quickly and quantitatively without previous knowledge of image processing. As all image processing and machine learning algorithms are executed on high-performance virtual machines, users can access a similar analytical environment from anywhere. A validation review of the morphological analysis and image classification of IMACEL was done. The output indicates that this platform is an accessible and potentially powerful tool for the quantitative evaluation of bioimages,which will reduce the barriers to life science research.
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