AUDELAN , Benoît

This thesis is structured around two research themes dedicated to probabilistic image segmentation and lung cancer screening. First, we focus on the problem of controlling the spatial regularity of segmentations. Enforcing a certain extent of regularization is important in order to guarantee the spatial consistency of the segmented structures...

International audience

Assessing the quality of segmentations on an image database is required as many downstream clinical applications are based on segmentation results. For large databases, this quality assessment becomes tedious for a human expert and therefore some automation of this task is necessary. In this paper, we introduce a novel unsupervised approach...

The fusion of probability maps is required when trying to analyse a collection of image labels or probability maps produced by several segmentation algorithms or human raters. The challenge is to weight the combination of maps correctly, in order to reflect the agreement among raters, the presence of outliers and the spatial uncertainty in the...

The fusion of probability maps is required when trying to analyse a collection of image labels or probability maps produced by several segmentation algorithms or human raters. The challenge is to weight properly the combination of maps in order to reflect the agreement among raters, the presence of outliers and the spatial uncertainty in the...

Background: A deep learning system for lung nodule detection from low dose CT scans was trained on a public database. This study aims to evaluate its performance on an independent screening dataset and specifically its ability to detect malignant lesions one year prior to diagnosis.Methods: The algorithm was solely trained on the LIDC-IDRI...

Tumor mutational burden (TMB) has emerged as an important potential biomarker for prediction of response to immune-checkpoint inhibitors (ICIs), notably in non-small cell lung cancer (NSCLC). However, its in-house assessment in routine clinical practice is currently challenging and validation is urgently needed. We have analyzed sixty NSCLC and...