A review on segmentation of positron emission tomography images
Abstract Positron Emission Tomography (PET), a non-invasive functional imaging method at
the molecular level, images the distribution of biologically targeted radiotracers with high …
the molecular level, images the distribution of biologically targeted radiotracers with high …
A survey of graph cuts/graph search based medical image segmentation
X Chen, L Pan - IEEE reviews in biomedical engineering, 2018 - ieeexplore.ieee.org
Medical image segmentation is a fundamental and challenging problem for analyzing
medical images. Among different existing medical image segmentation methods, graph …
medical images. Among different existing medical image segmentation methods, graph …
[HTML][HTML] Head and neck tumor segmentation in PET/CT: the HECKTOR challenge
V Oreiller, V Andrearczyk, M Jreige, S Boughdad… - Medical image …, 2022 - Elsevier
This paper relates the post-analysis of the first edition of the HEad and neCK TumOR
(HECKTOR) challenge. This challenge was held as a satellite event of the 23rd International …
(HECKTOR) challenge. This challenge was held as a satellite event of the 23rd International …
HyperDense-Net: a hyper-densely connected CNN for multi-modal image segmentation
Recently, dense connections have attracted substantial attention in computer vision
because they facilitate gradient flow and implicit deep supervision during training …
because they facilitate gradient flow and implicit deep supervision during training …
Co-learning feature fusion maps from PET-CT images of lung cancer
The analysis of multi-modality positron emission tomography and computed tomography
(PET-CT) images for computer-aided diagnosis applications (eg, detection and …
(PET-CT) images for computer-aided diagnosis applications (eg, detection and …
Multimodal spatial attention module for targeting multimodal PET-CT lung tumor segmentation
Multimodal positron emission tomography-computed tomography (PET-CT) is used routinely
in the assessment of cancer. PET-CT combines the high sensitivity for tumor detection of …
in the assessment of cancer. PET-CT combines the high sensitivity for tumor detection of …
Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network
X Zhao, L Li, W Lu, S Tan - Physics in Medicine & Biology, 2018 - iopscience.iop.org
Automatic tumor segmentation from medical images is an important step for computer-aided
cancer diagnosis and treatment. Recently, deep learning has been successfully applied to …
cancer diagnosis and treatment. Recently, deep learning has been successfully applied to …
Liver CT sequence segmentation based with improved U-Net and graph cut
Liver segmentation has always been the focus of researchers because it plays an important
role in medical diagnosis. However, under the condition of low contrast between a liver and …
role in medical diagnosis. However, under the condition of low contrast between a liver and …
Classification and evaluation strategies of auto‐segmentation approaches for PET: Report of AAPM task group No. 211
Purpose The purpose of this educational report is to provide an overview of the present state‐
of‐the‐art PET auto‐segmentation (PET‐AS) algorithms and their respective validation, with …
of‐the‐art PET auto‐segmentation (PET‐AS) algorithms and their respective validation, with …
Deep learning for variational multimodality tumor segmentation in PET/CT
L Li, X Zhao, W Lu, S Tan - Neurocomputing, 2020 - Elsevier
Positron emission tomography/computed tomography (PET/CT) imaging can simultaneously
acquire functional metabolic information and anatomical information of the human body …
acquire functional metabolic information and anatomical information of the human body …