Digital Image Processing and Deep Learning in the Fields of Medical Image Processing

Dear Colleagues,

Nowadays, deep learning methods have become a standard approach for image processing.

A close look at the literature shows that the core of the system remains the same; the emphasis is generally on two points, the pre-processing of the data and the constitution of the database used to drive the system. In the fields of medical image processing, database constitution necessitates a co-working approach between clinicians and engineers to ensure an efficient ‘learning’ stage with a correct explainability of results.

Questions to answer are: How can we guide clinicians in the constitution of adapted databases? That means how to prepare data to optimize/ to drive the results. How do we assess the results of DL algorithms? How to compare the ground truth with the results of the algorithms (precisions, errors...).

Dr. Laurent Peyrodie
Guest Editor

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