Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Point‐cloud segmentation with in‐silico data augmentation for prostate cancer treatment
Point‐cloud segmentation with in‐silico data augmentation for prostate cancer treatment
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Jianxin Zhou
,
Massimiliano Salvatori
,
Kadishe Fejza
,
Gregory M. Hermann
,
Angela Di Fulvio
Format:
Artículo Open Access
Published:
Wiley
2025
Subjects:
Medical Physics
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning
by: Zhou, Jianxin, et al.
Published: (2024)
CycleSeg: Simultaneous synthetic CT generation and unsupervised segmentation for MR‐only radiotherapy treatment planning of prostate cancer
by: Huan Minh Luu, et al.
Published: (2024)
Vision mamba augmented segment anything model for medical image segmentation
by: Zimao Li, et al.
Published: (2026)
Impact of deep learning model uncertainty on manual corrections to auto-segmentation in prostate cancer radiotherapy
by: Rogowski, Viktor, et al.
Published: (2025)
Enhancing prostate cancer segmentation on multiparametric magnetic resonance imaging with background information and gland masks
by: Lei Wang, et al.
Published: (2024)