Article

A deep learning approach to capture the essence of <i>Candida albicans</i> morphologies

2021-06-10

Abstract excerpt

We present deep learning-based approaches for exploring the complex array of morphologies exhibited by the opportunistic human pathogen C. albicans . Our system entitled Candescence automatically detects C. albicans cells from Differential Image Contrast microscopy, and labels each detected cell with one of nine vegetative, mating-competent or filamentous morphologies. The software is based upon a fully convolut...

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Literature Corpus work: 449f20cc-ed9a-5bdc-8b83-66ea53bc6fb5
DOI: 10.1101/2021.06.10.445299

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