Impact of image enhancement on the radiomics stability of diffusion-weighted MRI images of cervical cancer

QR Code

Impact of image enhancement on the radiomics stability of diffusion-weighted MRI images of cervical cancer

The diffusion-weighted imaging (DWI) technique is known for its capability to differentiate the diffusion of water molecules between cancerous and non-cancerous cervix tissues, which enhances the accuracy of detection. Despite the potential of DWI-MRI, its accuracy is limited by technical factors in...

Full description

Bibliographic Details
Main Authors:	Ramli, Zarina, Farizan, Aishah, Tamchek, Nizam, Haron, Zaharudin, Abdul Karim, Muhammad Khalis
Format:	Article
Language:	English
Published:	Springer Science and Business Media LLC 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/117350/ http://psasir.upm.edu.my/id/eprint/117350/1/117350.pdf

Similar Items

Radiomics analysis and supervised machine learning model for classification of cervical cancer images using diffusion weighted imaging-MRI
by: Ramli, Zarina
Published: (2024)

Stability and reproducibility of radiomic features based on various segmentation techniques on cervical cancer DWI-MRI
by: Ramli, Zarina, et al.
Published: (2022)

Stability and reproducibility of radiomic features based various segmentation technique on MR images of Hepatocellular Carcinoma (HCC)
by: Mohd Haniff, Nurin Syazwina, et al.
Published: (2021)

Impact of image contrast enhancement on stability of radiomics feature quantification on a 2D mammogram radiograph
by: Mat Radzi, Siti Fairuz, et al.
Published: (2020)

Image quality transfer and applications in diffusion MRI
by: Alexander, Daniel C., et al.
Published: (2017)

Diffusion weighted imaging and relaxometry in abdominal organs
by: Omar, Nur Farhayu
Published: (2016)

Reproducibility and repeatability of coronary computed tomography angiography (CCTA) image segmentation in detecting atherosclerosis: a radiomics study
by: Mohd Yunus, Mardhiyati, et al.
Published: (2022)

Diffusion tensor imaging of the rotator cuff muscles : optimisation of b value and number of diffusion direction for imaging at 3 Tesla MRI
by: Kamarudin, Mohd Nazlin
Published: (2018)

Classification of glioma brain tumors in mr images using imagej-based radiomic analysis
by: Zafrin, Nurizzatul Hadawiyah Mohamed
Published: (2024)

Investigation Of Robustness Of 18f-Fdg Pet/Ct Radiomics Features For The Development Of Image Based Biomarkers For Head And Neck Cancer
by: Anan, Noushin
Published: (2023)

Ball and rackets: inferring fiber fanning from diffusion-weighted MRI
by: Sotiropoulos, Stamatios N., et al.
Published: (2012)

The design and synthesis of MRI contrast agents for imaging cancer and hypoxia
by: Grimes, Eleanor F.
Published: (2014)

Study of hyperpolarised 3He MRI diffusion on asthma and cystic fibrosis, and development of hyperpolarised 129Xe MRI lung imaging
by: Hardy, Steven M.
Published: (2016)

Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin
by: Zainal Abidin, Zalikha Farhanah
Published: (2015)

Efficient statistical methods for inference and model selection in diffusion-weighted MRI models
by: Mott, Lisa
Published: (2016)

Evaluating fibre orientation dispersion in white matter: comparison of diffusion MRI, histology and polarized light imaging
by: Mollink, Jeroen, et al.
Published: (2017)

Imaging in head and neck: CT and MRI
by: Hassan, Radhiana
Published: (2016)

Brain Mri Images Quality Enhancement Using Image Processing Techniques
by: Vispalingam, Asvhini Seema
Published: (2023)

Fabrication and characterization of polyvintl acetate slime phantom for T1-weighted, T2-weighted, and diffusion tensor magnetic resonance imaging
by: Chaw, Nurbranda
Published: (2020)

Evaluation of magnetic susceptibility artefact induced by personal care product with gold nanoparticles on brain magnetic resonance (MRI) images
by: Zaini, Nor Syaza, et al.
Published: (2019)

Automated classification of atherosclerotic radiomics features in coronary computed tomography angiography (CCTA)
by: Mohd Yunus, Mardhiyati, et al.
Published: (2022)

Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs
by: Hernández, Moisés, et al.
Published: (2013)

Ultra-high b-value diffusion-weighted imaging features of the prostatic leiomyoma-case report
by: Shen, Y., et al.
Published: (2017)

Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI
by: Jones, D.K., et al.
Published: (2018)

Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE
by: Sotiropoulos, S.N., et al.
Published: (2013)

Functional brain imaging with fMRI and MEG
by: He, Jiabao
Published: (2005)

Cortical imaging as seen at ultrahigh field MRI
by: Abdel-Fahim, Rasha
Published: (2017)

Review of brain MRI image segmentation methods
by: Balafar, Mohammad Ali, et al.
Published: (2010)

Three dimensional high resolution mri myelography of cervical spine in patients with cervical spondylotic radiculopathy using moderately t2-weighted 3d tse-fs sequence
by: Mohd Amin Rebuan, Husbani
Published: (2011)

Interpretable deep learning radiomics with synthetic data augmentation for breast cancer diagnosis / Pang Ting
by: Pang , Ting
Published: (2022)

Systematic review and meta-analysis on the classification metrics of machine learning algorithm based radiomics in hepatocellular carcinoma diagnosis
by: Mohd Haniff, Nurin Syazwina, et al.
Published: (2024)

Characterisation of malignant and benign musculoskeletal soft tissue lesions using the diffusion weighted magnetic resonance imaging
by: Latif, Nurulhuda Abdul
Published: (2018)

Statistical analysis of diffusion tensor imaging
by: Zhou, Diwei
Published: (2010)

Sodium MRI: a new frontier in imaging in nephrology
by: Francis, Susan T., et al.
Published: (2017)

Segmentation of MRI brain images using statistical approaches
by: Balafar, Mohammad Ali
Published: (2011)

Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes
by: Andersson, Jesper L.R., et al.
Published: (2015)

A stacking ensemble framework integrating radiomics and deep learning for prognostic prediction in head and neck cancer
by: Wang, Bingzhen, et al.
Published: (2025)

On noise, uncertainty and inference for computational diffusion MRI
by: Manzano Patron, Jose Pedro
Published: (2023)

The value of amide proton transfer imaging in predicting parametrial invasion and lymph-vascular space invasion of cervical cancer
by: Yang, Chongshuang, et al.
Published: (2025)

Diffusion tensor imaging and fibre tractography of leukoaraiosis
by: Hanapi, Fatin Ayuni
Published: (2016)