Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology

Sarah Alhammad,Kun Zhao,Anthony Jennings,Peter Hobson,Daniel F. Smith, Brett Baker, Justin Staweno,Brian C. Lovell

2021 Digital Image Computing: Techniques and Applications (DICTA)（2021）

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摘要

The interpretation of conventional glass Gram stain microscopy slides is both subjective and time consuming. The first step towards Digital Pathology is to convert Gram slides into Whole Slide Images (WSIs) - this image capture process itself is extremely challenging due to the need for x 100 objectives with oil immersion for conventional microscopy. With high volume pathology laboratories, having...

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Training,Deep learning,Pathology,Microorganisms,Protocols,Oils,Microscopy

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