UCP2-ACGAN: An adaptive condition GAN guided by U-shaped context perceptual processor for PET/CT images fusion-Reference-Cited by-同舟云学术

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UCP2-ACGAN: An adaptive condition GAN guided by U-shaped context perceptual processor for PET/CT images fusion

Published:2024-10 Issue: Volume:96 Page:106571
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhou Tao^ORCID,Li Qi,Lu Huiling,Liu Long,Zhang Xiangxiang

Funder

National Natural Science Foundation of China

Ningxia Hui Autonomous Region Natural Science Foundation

Publisher

Elsevier BV

Reference37 articles.

1. Brain medical image fusion using L2-norm-based features and fuzzy-weighted measurements in 2-D Littlewood–paley EWT domain;Jin;IEEE Trans. Instrum. Meas.,2020

2. Lungs cancer classification from CT images: an integrated design of contrast based classical features fusion and selection;Khan;Pattern Recognit. Lett.,2020

3. Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain;Yin;IEEE Trans. Instrum. Meas.,2019

4. Coronavirus disease 2019 (COVID-19) in molecular imaging: a systematic review of incidental detection of SARS-CoV-2 pneumonia on PET studies;Rafiee;Semin. Nucl. Med.,2021

5. Imaging in therapy response assessment and surveillance of lung cancer: evidenced-based review with focus on the utility of 18F-FDG PET/CT-ScienceDirect;Sheikhbahaei;Clin. Lung Cancer,2020

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