Results 11 to 20 of about 492,068 (301)

Soft Computing in Medical Image Processing. [PDF]

Comput Math Methods Med, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kobashi S, Nyúl LG, Udupa JK.
europepmc   +4 more sources

Modern Image-Guided Surgery: A Narrative Review of Medical Image Processing and Visualization. [PDF]

Sensors (Basel), 2023
Lin Z, Lei C, Yang L.
europepmc   +2 more sources

Medical image processing and COVID-19: A literature review and bibliometric analysis. [PDF]

J Infect Public Health, 2022
Abumalloh RA, Nilashi M, Yousoof Ismail M, Alhargan A, Alghamdi A, Alzahrani AO, Saraireh L, Osman R, Asadi S.   +8 more
europepmc   +2 more sources

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey. [PDF]

Sustain Cities Soc, 2021
Bhattacharya S, Reddy Maddikunta PK, Pham QV, Gadekallu TR, Krishnan S SR, Chowdhary CL, Alazab M, Jalil Piran M.   +7 more
europepmc   +2 more sources

The Constantly Evolving Role of Medical Image Processing in Oncology: From Traditional Medical Image Processing to Imaging Biomarkers and Radiomics. [PDF]

J Imaging, 2021
The role of medical image computing in oncology is growing stronger, not least due to the unprecedented advancement of computational AI techniques, providing a technological bridge between radiology and oncology, which could significantly accelerate the ...
Marias K.
europepmc   +2 more sources

Dynamic PET Image Denoising Using Deep Image Prior Combined With Regularization by Denoising

IEEE Access, 2021
The quantitative accuracy of positron emission tomography (PET) is affected by several factors, including the intrinsic resolution of the imaging system and inherently noisy data, which result in a low signal-to-noise ratio (SNR) of PET image. To address
Hao Sun, Lihong Peng, Hongyan Zhang, Yuru He, Shuangliang Cao, Lijun Lu   +5 more
doaj   +1 more source

Hierarchical Prediction of Registration Misalignment Using a Convolutional LSTM: Application to Chest CT Scans

IEEE Access, 2021
In this paper we propose a supervised method to predict registration misalignment using convolutional neural networks (CNNs). This task is casted to a classification problem with multiple classes of misalignment: “correct” 0-3 mm, “ ...
Hessam Sokooti, Sahar Yousefi, Mohamed S. Elmahdy, Boudewijn P. F. Lelieveldt, Marius Staring   +4 more
doaj   +1 more source

Mn doped Prussian blue nanoparticles for T1/T2 MR imaging, PA imaging and Fenton reaction enhanced mild temperature photothermal therapy of tumor

Journal of Nanobiotechnology, 2022
Background Combining the multimodal imaging and synergistic treatment in one platform can enhance the therapeutic efficacy and diagnosis accuracy. Results In this contribution, innovative Mn-doped Prussian blue nanoparticles (MnPB NPs) were prepared via ...
Quan Tao, Genghan He, Sheng Ye, Di Zhang, Zhide Zhang, Li Qi, Ruiyuan Liu   +6 more
doaj   +1 more source

A simulation study of the system characteristics for a long axial FOV PET design based on monolithic BGO flat panels compared with a pixelated LSO cylindrical design

EJNMMI Physics, 2023
Background Although a new generation of tomographs with a longer axial field-of-view called total-body PET have been developed, they are not widely utilized due to their high cost compared to conventional scanners.
Meysam Dadgar, Jens Maebe, Maya Abi Akl, Boris Vervenne, Stefaan Vandenberghe   +4 more
doaj   +1 more source

Medical Imaging and Image Processing

Technologies, 2023
Medical imaging (MI) [...]
Yudong Zhang, Zhengchao Dong
openaire   +2 more sources