Deep Multiple Instance Learning Model to Predict Outcome of Pancreatic Cancer Following Surgery

Deep Multiple Instance Learning Model to Predict Outcome of Pancreatic Cancer Following Surgery

<b>Background/Objectives</b>: Pancreatic ductal adenocarcinoma (PDAC) is a cancer with very poor prognosis despite early surgical management. To date, only clinical variables are used to predict outcome for decision-making about adjuvant therapy. We sought to generate a deep learning app...

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Bibliographic Details
Main Authors: Caroline Truntzer, Dina Ouahbi, Titouan Huppé, David Rageot, Alis Ilie, Chloe Molimard, Françoise Beltjens, Anthony Bergeron, Angelique Vienot, Christophe Borg, Franck Monnien, Frédéric Bibeau, Valentin Derangère, François Ghiringhelli
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Biomedicines
Subjects:
biomarker
pancreatic cancer
deep learning
prognostic
Online Access:https://www.mdpi.com/2227-9059/12/12/2754

Internet

https://www.mdpi.com/2227-9059/12/12/2754

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