Suggestions

Du même auteur

AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients

Archive ouverte | Lassau, Nathalie | CCSD

The SARS-COV-2 pandemic has put pressure on Intensive Care Units, and made theidentification of early predictors of disease severity a priority. We collected clinical,biological, chest CT scan data, and radiology reports from 1,00...

A deep learning model to predict RNA-Seq expression of tumours from whole slide images

Archive ouverte | Schmauch, Benoît | CCSD

International audience. Deep learning methods for digital pathology analysis are an effective way to address multiple clinical questions, from diagnosis to prediction of treatment outcomes. These methods have also b...

Bias reduction using combined stain normalization and augmentation for AI-based classification of histological images

Archive ouverte | Franchet, Camille | CCSD

International audience. Artificial intelligence (AI)-assisted diagnosis is an ongoing revolution in pathology. However, a frequent drawback of AI models is their propension to make decisions based rather on bias in ...

Chargement des enrichissements...