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Conference Papers Year : 2015

Synthesizing whole slide images

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Abstract

The increasing availability of digital whole slide images opens new perspectives for computer-assisted image analysis complementing modern histopathology, assuming we can implement reliable and efficient image analysis algorithms to extract the biologically relevant information. Both validation and supervised learning techniques typically rely on ground truths manually made by human experts. However, this task is difficult, subjective and usually not exhaustive. This is a well-known issue in the field of biomedical imaging, and a common solution is the use of artificial "phantoms". Following this trend, we study the feasibility of synthesizing artificial histological images to create perfect ground truths. In this paper, we show that it is possible to generate a synthetic whole slide image with reasonable computing resources, and we propose a way to evaluate its quality.
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Dates and versions

hal-03811521 , version 1 (11-10-2022)

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Gregory Apou, Friedrich Feuerhake, Germain Forestier, Benoit Naegel, Cedric Wemmert. Synthesizing whole slide images. 2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA), Sep 2015, Zagreb, France. pp.154-159, ⟨10.1109/ispa.2015.7306050⟩. ⟨hal-03811521⟩
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