User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy

Autor: Wiro J. Niessen, Ursula Nestle, Jose Dolz, Sonja Adebahr, Edit Varga, Hortense A. Kirisli, Pieter Jan Stappers, L. Massoptier, Anjana Ramkumar, Yu Song, Tanja Schimek-Jasch

Publikováno v: Journal of Digital Imaging
Journal of Digital Imaging, 29(2), 264-277. Springer New York
Journal of Digital Imaging, 29 (2), 2015

Accurate segmentation of organs at risk is an important step in radiotherapy planning. Manual segmentation being a tedious procedure and prone to inter- and intra-observer variability, there is a growing interest in automated segmentation methods. Ho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8265f526cb43f28b5fe3da5e4460d6ae
https://doi.org/10.1007/s10278-015-9839-8

Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context

Autor: Anne Laprie, Nicolas Reyns, Jose Dolz, S. Ken, L. Massoptier, Maximilien Vermandel, Henri-Arthur Leroy

Publikováno v: International Journal of Computer Assisted Radiology and Surgery. 11:43-51

To constrain the risk of severe toxicity in radiotherapy and radiosurgery, precise volume delineation of organs at risk is required. This task is still manually performed, which is time-consuming and prone to observer variability. To address these is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd963fed1a4a4a3482fe6a4d98dd82ba
https://doi.org/10.1007/s11548-015-1266-2

Interactive contour delineation of organs at risk in radiotherapy: Clinical evaluation on NSCLC patients

Autor: J, Dolz, H A, Kirişli, T, Fechter, S, Karnitzki, O, Oehlke, U, Nestle, M, Vermandel, L, Massoptier

Publikováno v: Medical physics. 43(5)

Accurate delineation of organs at risk (OARs) on computed tomography (CT) image is required for radiation treatment planning (RTP). Manual delineation of OARs being time consuming and prone to high interobserver variability, many (semi-) automatic me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::13bc0b736b3b911cdf7ca13da58ac4c4
https://pubmed.ncbi.nlm.nih.gov/27147367

Hepatic Vessel Segmentation for 3D Planning of Liver Surgery

Autor: R. Franchini, L. Massoptier, Christian Demitri, Sergio Casciaro, Alfonso Maffezzoli, Francesco Montagna, Antonio Malvasi, Francesco Conversano

Publikováno v: Academic Radiology. 18:461-470

Rationale and Objectives The aim of this study was to identify the optimal parameter configuration of a new algorithm for fully automatic segmentation of hepatic vessels, evaluating its accuracy in view of its use in a computer system for three-dimen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40c7dd88e93f2d0ddbbbcca7727773fc
https://doi.org/10.1016/j.acra.2010.11.015

Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: a clinical study

Autor: L. Massoptier, Maximilien Vermandel, Nacim Betrouni, Nicolas Reyns, Henri-Arthur Leroy, Dris Kharroubi, Jose Dolz, Mathilde Quidet

Publikováno v: Computerized Medical Imaging and Graphics
Computerized Medical Imaging and Graphics, Elsevier, 2016, ⟨10.1016/j.compmedimag.2016.03.003⟩
Computerized Medical Imaging and Graphics, Elsevier, 2016, 52, pp.8-18. ⟨10.1016/j.compmedimag.2016.03.003⟩
Computerized Medical Imaging and Graphics, 2016, 52, pp.8-18. ⟨10.1016/j.compmedimag.2016.03.003⟩
Computerized Medical Imaging and Graphics, 2016, ⟨10.1016/j.compmedimag.2016.03.003⟩

International audience; Delineation of organs at risk (OARs) is a crucial step in surgical and treatment planning in brain cancer, where precise OARs volume delineation is required. However, this task is still often manually performed, which is time-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6467458e5f644b106a58e8673d00a7a
https://hal.archives-ouvertes.fr/hal-01318076/document