Automatic detection and segmentation of renal lesions in 3D contrast-enhanced ultrasound images
type: Dataset
description: International audience
issued: 2026-05-16T10:15:35.343097
language: en
modified: 2026-05-16T10:15:35.343103
contact point: Organization
  fn: CCSD
keyword: 3d
keyword: conference-papers
keyword: contrast-enhanced
keyword: cysts
keyword: detection
keyword: fast-marching
keyword: fi-ltering
keyword: front-propagation
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-imcomputer-science-csmedical-imaging
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: kidney
keyword: lesions
keyword: segmentation
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: ultrasound
landing page: Image Processing

Automatic detection and segmentation of renal lesions in 3D contrast-enhanced ultrasound images
type: Distribution
format: HTML
issued: 2026-05-16T10:15:35.467660
modified: 2026-05-16T10:15:35.289693
access URL: https://hal.science/hal-00703131

test_moissonnage_selune
type: Agent