Accéder directement au contenu Accéder directement à la navigation
Communication dans un congrès

Predicting Residual Cancer Burden in a triple negative breast cancer cohort

Abstract : Analysis and interpretation of stained histopathology sections is one of the main tools in cancer diagnosis and prognosis. In addition to the information which is typically extracted by trained pathologists, there is also information that is not yet exploited, simply because we do not yet understand the impact of all cellular and tissular features that could be predictive of outcome. In this paper, we address a question that can currently not be solved by pathologists: the prediction of treatment efficiency for Triple Negative Breast Cancer (TNBC) patients from biopsy data.
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger

https://hal-mines-paristech.archives-ouvertes.fr/hal-02440647
Contributeur : Thomas Walter <>
Soumis le : mercredi 15 janvier 2020 - 11:55:53
Dernière modification le : samedi 19 septembre 2020 - 04:48:25
Archivage à long terme le : : jeudi 16 avril 2020 - 15:55:02

Fichier

Predicting_Residual_Cancer_Bur...
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Peter Naylor, Joseph Boyd, Marick Lae, Fabien Reyal, Thomas Walter. Predicting Residual Cancer Burden in a triple negative breast cancer cohort. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Apr 2019, Venice, Italy. pp.933-937, ⟨10.1109/ISBI.2019.8759205⟩. ⟨hal-02440647⟩

Partager

Métriques

Consultations de la notice

286

Téléchargements de fichiers

724