Results 181 to 190 of about 151,110 (308)

Towards user-centered interactive medical image segmentation in VR with an assistive AI agent. [PDF]

Virtual Real
Spiegler P, Harirpoush A, Xiao Y.
europepmc   +1 more source

Segmentation and classification of multimodal medical images based on generative adversarial learning and convolutional neural networks

, 2019
Vivek Kumar Singh
openalex   +1 more source

Frame-based segmentation for medical images [PDF]

, 2011
Aichi Chien, Bin Dong, Zuowei Shen
openalex   +1 more source

Whole‐Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize whole‐body intramuscular fat distribution pattern in patients with sarcoglycanopathies and explore correlations with disease severity, duration and age at onset. Methods Retrospective, cross‐sectional, multicentric study enrolling patients with variants in one of the four sarcoglycan genes who underwent whole‐body ...
Laura Costa‐Comellas, Mauro Monforte, Angel Sanchez‐Montañez, Penélope Romero‐Duque, Elena Pegoraro, Jordi Díaz‐Manera, Dmitry Vlodavets, Lorenzo Maggi, Marco Moscatelli, Adele D‘Amico, Montse Olivé, Jorge Alonso‐Pérez, Giacomo Comi, José Miguel Escudero‐Fernández, Gabriela S. Urcuyo, Anna Pichiecchio, Angela Berardinelli, Kristl G. Claeys, Claudio Bruno, Chiara Panicucci, Sara Bortolani, Eleonora Torchia, Enzo Ricci, Soledad Monges, Jorge A. Bevilacqua, Jorge Diaz‐Jara, Maggie C. Walter, Simone Thiele, Nicoline Løkken, John Vissing, Susana Quijano‐Roy, Robert Y. Carlier, Nicol C. Voermans, Chiara Marini‐Bettolo, Michela Guglieri, Volker Straub, Lea Leonardis, Francina Munell, David Gómez‐Andrés, Giorgio Tasca   +39 more
wiley   +1 more source

IAP-TransUNet: integration of the attention mechanism and pyramid pooling for medical image segmentation. [PDF]

Front Neurorobot
Shi Y, Li F, Zhao S, Yu H, Chen X, Liu Q.   +5 more
europepmc   +1 more source

Advancements in Medical Image Analysis: A Comprehensive Method of AI-Based Classification and Segmentation Technique

Ankur Biswas, Rita Banik
openalex   +2 more sources

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

VT-MFLV: Vision-Text Multimodal Feature Learning V Network for Medical Image Segmentation. [PDF]

J Imaging
Wang W, Li J, Ye Z, Cai Y, Wang Z, Zhang R.   +5 more
europepmc   +1 more source

Medical image segmentation based on Dirichlet energies and priors

, 2014
Ang Li
openalex   +1 more source

An Enhanced U-Network by Combining PPM and CBAM for Medical Image Segmentation

Zhongming Fu, Hejian Chen, Mengsi He, Liu Li   +3 more
openalex   +1 more source