Cargando…

Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging

T(2)-weighted magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) are essential components of cervical cancer diagnosis. However, combining these channels for the training of deep learning models is challenging due to image misalignment. Here, we propose a novel multi-head framewor...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kalantar, Reza, Curcean, Sebastian, Winfield, Jessica M., Lin, Gigin, Messiou, Christina, Blackledge, Matthew D., Koh, Dow-Mu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647438/ https://www.ncbi.nlm.nih.gov/pubmed/37958277 http://dx.doi.org/10.3390/diagnostics13213381

Ejemplares similares

Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges
por: Kalantar, Reza, et al.
Publicado: (2021)

Optimisation of b-values for the accurate estimation of the apparent diffusion coefficient (ADC) in whole-body diffusion-weighted MRI in patients with metastatic melanoma
por: Knill, Annemarie K., et al.
Publicado: (2022)

Repeatability of quantitative individual lesion and total disease multiparametric whole-body MRI measurements in prostate cancer bone metastases
por: Donners, Ricardo, et al.
Publicado: (2023)

CT-Based Pelvic T(1)-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN)
por: Kalantar, Reza, et al.
Publicado: (2021)

Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning–based Denoising Image Filters
por: Zormpas-Petridis, Konstantinos, et al.
Publicado: (2021)

Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma
por: Blackledge, Matthew D., et al.
Publicado: (2019)

Repeatability and reproducibility of apparent diffusion coefficient and fat fraction measurement of focal myeloma lesions on whole body magnetic resonance imaging
por: Barwick, Tara, et al.
Publicado: (2021)

Improving real‐world myeloma patient access to whole body MRI through “open‐access” knowledge sharing: The UK experience
por: Kaiser, Martin F, et al.
Publicado: (2020)

Early Response to Chemotherapy in Malignant Pleural Mesothelioma Evaluated Using Diffusion-Weighted Magnetic Resonance Imaging: Initial Observations
por: Curcean, Sebastian, et al.
Publicado: (2021)

Inter-observer agreement of baseline whole body MRI in multiple myeloma
por: Croft, James, et al.
Publicado: (2020)

Developing and testing a robotic MRI/CT fusion biopsy technique using a purpose-built interventional phantom
por: Johnston, Edward W., et al.
Publicado: (2022)

Multiparametric bone MRI can improve CT-guided bone biopsy target selection in cancer patients and increase diagnostic yield and feasibility of next-generation tumour sequencing
por: Donners, Ricardo, et al.
Publicado: (2022)

Multiparametric Magnetic Resonance Imaging of Prostate Cancer Bone Disease: Correlation With Bone Biopsy Histological and Molecular Features
por: Perez-Lopez, Raquel, et al.
Publicado: (2018)

Relative fat fraction of malignant bone lesions from breast cancer, prostate cancer and myeloma are significantly lower than normal bone marrow and shows excellent interobserver agreement
por: Castagnoli, Francesca, et al.
Publicado: (2023)

Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19
por: Kalantar, Reza, et al.
Publicado: (2023)

The prognostic value of PET and PET/CT in cervical cancer
por: Koh, Dow-Mu, et al.
Publicado: (2008)

Whole-body diffusion-weighted MRI of normal lymph nodes: prospective apparent diffusion coefficient histogram and nodal distribution analysis in a healthy cohort
por: Donners, Ricardo, et al.
Publicado: (2021)

Fracture Risk in Men with Metastatic Prostate Cancer Treated With Radium-223
por: Hijab, Adham, et al.
Publicado: (2021)

Virtual Biopsy in Soft Tissue Sarcoma. How Close Are We?
por: Arthur, Amani, et al.
Publicado: (2022)

Radiomic Features From Diffusion-Weighted MRI of Retroperitoneal Soft-Tissue Sarcomas Are Repeatable and Exhibit Change After Radiotherapy
por: Thrussell, Imogen, et al.
Publicado: (2022)

Rapid development of image analysis research tools: Bridging the gap between researcher and clinician with pyOsiriX
por: Blackledge, Matthew D., et al.
Publicado: (2016)

Multiparametric Ultrasound of Cervical Lymph Node Metastases in Head and Neck Cancer for Planning Non-Surgical Therapy
por: Künzel, Julian, et al.
Publicado: (2022)

Apparent diffusion coefficient of vertebral haemangiomas allows differentiation from malignant focal deposits in whole-body diffusion-weighted MRI
por: Winfield, Jessica M., et al.
Publicado: (2017)

Radium-223 in metastatic castration-resistant prostate cancer: whole-body diffusion-weighted magnetic resonance imaging scanning to assess response
por: Parker, Chris, et al.
Publicado: (2023)

Using Multiparametric Cardiac Magnetic Resonance to Phenotype and Differentiate Biopsy-Proven Chronic from Healed Myocarditis and Dilated Cardiomyopathy
por: Krumm, Patrick, et al.
Publicado: (2022)

Evaluation of Multimodal Algorithms for the Segmentation of Multiparametric MRI Prostate Images
por: Nai, Ying-Hwey, et al.
Publicado: (2020)

Implementation of Whole-Body MRI (MY-RADS) within the OPTIMUM/MUKnine multi-centre clinical trial for patients with myeloma
por: Rata, Mihaela, et al.
Publicado: (2022)

Interobserver agreement of whole-body magnetic resonance imaging is superior to whole-body computed tomography for assessing disease burden in patients with multiple myeloma
por: Lai, Alta Y. T., et al.
Publicado: (2019)

Sudden Cardiac Death Prediction in Non-ischemic Dilated Cardiomyopathy: a Multiparametric and Dynamic Approach
por: Hammersley, Daniel J., et al.
Publicado: (2020)

Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis
por: Bielak, Lars, et al.
Publicado: (2020)

Splenic volume as a predictor of treatment response in patients with non-small cell lung cancer receiving immunotherapy
por: Castagnoli, Francesca, et al.
Publicado: (2022)

Segmental Alterations of the Corpus Callosum in Progressive Supranuclear Palsy: A Multiparametric Magnetic Resonance Imaging Study
por: Bârlescu, Lavinia A., et al.
Publicado: (2021)

Early Cervical Cancer: Predictive Relevance of Preoperative 3-Tesla Multiparametric Magnetic Resonance Imaging
por: Roh, Hyun Jin, et al.
Publicado: (2018)

Station of the fetal head at complete cervical dilation impacts duration of second stage of labor
por: Ludvigsen, Elisabeth, et al.
Publicado: (2019)

Multiparametric brainstem segmentation using a modified multivariate mixture of Gaussians()
por: Lambert, Christian, et al.
Publicado: (2013)

Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification
por: Juan-Albarracín, Javier, et al.
Publicado: (2015)

Multiparametric magnetic resonance imaging features of a canine glioblastoma model
por: Lee, Seunghyun, et al.
Publicado: (2021)

Automated segmentation of multiparametric magnetic resonance images for cerebral AVM radiosurgery planning: a deep learning approach
por: Simon, Aaron B., et al.
Publicado: (2022)

Leukocytosis during cervical preparation with osmotic dilators for dilation and evacuation
por: Benson, Lyndsey S, et al.
Publicado: (2021)

Cocaine in Cervical Dilatations for Dysmenorrhœa
por: Birdsong, M. J.
Publicado: (1888)

Cannot write session to /tmp/vufind_sessions/sess_qq9ihtus45ua7uofubb7emp2vt