Código QR (código de barras bidimensional)

Advanced multi-label brain hemorrhage segmentation using an attention-based residual U-Net model

Abstract Objective This study aimed to develop and assess an advanced Attention-Based Residual U-Net (ResUNet) model for accurately segmenting different types of brain hemorrhages from CT images. The goal was to overcome the limitations of manual segmentation and current automated methods regarding...

ver descrição completa

Na minha lista:
Principais autores: Xinxin Lin, Enmiao Zou, Wenci Chen, Xinxin Chen, Le Lin
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2025-07-01
coleção:BMC Medical Informatics and Decision Making
Assuntos:
CT
Brain hemorrhage
Segmentation
Attention-based residual U-Net
Deep learning
Medical imaging
Acesso em linha:https://doi.org/10.1186/s12911-025-03131-3
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados