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Transmorph: Transformer for unsupervised medical image registration
In the last decade, convolutional neural networks (ConvNets) have been a major focus of
research in medical image analysis. However, the performances of ConvNets may be limited …
research in medical image analysis. However, the performances of ConvNets may be limited …
Deep learning based automatic segmentation of metastasis hotspots in thorax bone SPECT images
Q Lin, M Luo, R Gao, T Li, Z Man, Y Cao, H Wang - PLoS One, 2020 - journals.plos.org
SPECT imaging has been identified as an effective medical modality for diagnosis,
treatment, evaluation and prevention of a range of serious diseases and medical conditions …
treatment, evaluation and prevention of a range of serious diseases and medical conditions …
Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks
Purpose Quantitative bone single‐photon emission computed tomography (QBSPECT) has
the potential to provide a better quantitative assessment of bone metastasis than planar …
the potential to provide a better quantitative assessment of bone metastasis than planar …
Generating anthropomorphic phantoms using fully unsupervised deformable image registration with convolutional neural networks
Purpose Computerized phantoms have been widely used in nuclear medicine imaging for
imaging system optimization and validation. Although the existing computerized phantoms …
imaging system optimization and validation. Although the existing computerized phantoms …
Medical image segmentation via unsupervised convolutional neural network
J Chen, EC Frey - ar**-Liu-3/publication/348589380_Fully_automated_3D_segmentation_of_dopamine_transporter_SPECT_images_using_an_estimation-based_approach/links/601a029992851c4ed545e050/Fully-automated-3D-segmentation-of-dopamine-transporter-SPECT-images-using-an-estimation-based-approach.pdf" data-clk="hl=nl&sa=T&oi=gga&ct=gga&cd=7&d=4007869281065539198&ei=rmHCZ9OIMNq16rQPjs6rqQ8" data-clk-atid="fpYcZODPnjcJ" target="_blank">[PDF] researchgate.net
[PDF][PDF] Fully automated 3D segmentation of dopamine transporter SPECT images using an estimation-based approach
Quantitative measures of uptake in the caudate, putamen, and globus pallidus in dopamine
transporter (DaT) brain SPECT have potential as biomarkers for the severity of Parkinson …
transporter (DaT) brain SPECT have potential as biomarkers for the severity of Parkinson …
Clinical dosimetry in Molecular Radiotherapy
G Kayal - 2022 - theses.hal.science
Molecular radiotherapy (MRT) is a systemic radiotherapy where the radiopharmaceutical
binds specifically to tumours to selectively destroy cancer targets while sparing healthy …
binds specifically to tumours to selectively destroy cancer targets while sparing healthy …
Feature-Based Image Clustering and Segmentation Using Wavelets
Pixel intensity is a widely used feature for clustering and segmentation algorithms, the
resulting segmentation using only intensity values might suffer from noises and lack of …
resulting segmentation using only intensity values might suffer from noises and lack of …