Deep Learning Tool for the Automatic Detection and Segmentation of Liver Tumors

Entity: Universitat Rovira i Virgili (URV)

Confidenciality: Si

Education area(s): Ciència de Dades Biomèdiques

APS: No

Title in different languages: Deep Learning Tool for the Automatic Detection and Segmentation of Liver Tumors

Abstract: We aim to develop a tool for the automatic detection and segmentation of liver tumors with existing Deep Learning models. To do so, we have collected 1516 computed tomography scans, coming from several institutions (open-source and private), accounting for 4790 tumors. A review of the state-of-the-art methods has been done too, as well as a benchmarking comparison to our resulting model. Moreover, the impact in segmentation performance of several scan characteristics has been evaluated, together with a sub-study to assess the inter- and intra-radiologists’ variability. Lastly, the quantification of Total Tumor Volume has been tested as a prognostic biomarker.

Subject: Fetge--Càncer

Academic year: 2023-2024

Language: en

Work's public defense date: 2024-06-20

Subject areas: Health sciences

Student: Balaguer Montero, Maria

Department: Enginyeria Informàtica i Matemàtiques

Creation date in repository: 2025-03-03

Keywords: Aprendizaje profundo, segmentación automática, cáncer de hígado

Title in original language: Deep Learning Tool for the Automatic Detection and Segmentation of Liver Tumors

Access Rights: info:eu-repo/semantics/openAccess

Project director: Sala Llonch, Roser