Cargando…

Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows

Recent advances in computer-aided diagnosis, treatment response and prognosis in radiomics and deep learning challenge radiology with requirements for world-wide methodological standards for labeling, preprocessing and image acquisition protocols. The adoption of these standards in the clinical work...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cobo, Miriam, Menéndez Fernández-Miranda, Pablo, Bastarrika, Gorka, Lloret Iglesias, Lara
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Comment
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590396/ https://www.ncbi.nlm.nih.gov/pubmed/37865635 http://dx.doi.org/10.1038/s41597-023-02641-x

Ejemplares similares

Non-invasively predicting response to neoadjuvant chemotherapy in gastric cancer via deep learning radiomics
por: Fang, Mengjie, et al.
Publicado: (2022)

Radiomics and Deep Learning from Research to Clinical Workflow: Neuro-Oncologic Imaging
por: Park, Ji Eun, et al.
Publicado: (2020)

A primer on deep learning and convolutional neural networks for clinicians
por: Iglesias, Lara Lloret, et al.
Publicado: (2021)

Novel deep learning method for coronary artery tortuosity detection through coronary angiography
por: Cobo, Miriam, et al.
Publicado: (2023)

Deep learning shapes single-cell data analysis
por: Ma, Qin, et al.
Publicado: (2022)

Weakly-supervised deep learning models in computational pathology
por: Augustine, Tanya N.
Publicado: (2022)

Publisher Correction: Novel deep learning method for coronary artery tortuosity detection through coronary angiography
por: Cobo, Miriam, et al.
Publicado: (2023)

The evolution of SPHIRE-crYOLO particle picking and its application in automated cryo-EM processing workflows
por: Wagner, Thorsten, et al.
Publicado: (2020)

Comment on Gassenmaier et al. Accelerated T2-Weighted TSE Imaging of the Prostate Using Deep Learning Image Reconstruction: A Prospective Comparison with Standard T2-Weighted TSE Imaging. Cancers 2021, 13, 3593
por: Pucciarelli, Francesco, et al.
Publicado: (2023)

Predicting origin for bone metastatic cancer using deep learning-based pathology
por: Fang, Mengjie, et al.
Publicado: (2023)

Comments: The need to standardize use of the newly deceased in medical trainings
por: Enjoo, Seyed Ali
Publicado: (2021)

Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care
por: Djuric, Ugljesa, et al.
Publicado: (2017)

Standards of care in mesothelioma treatment
por: Harden, Susan V., et al.
Publicado: (2020)

Transfer-Learning Deep Radiomics and Hand-Crafted Radiomics for Classifying Lymph Nodes from Contrast-Enhanced Computed Tomography in Lung Cancer
por: Laqua, Fabian Christopher, et al.
Publicado: (2023)

Towards brain-tissue-like biomaterials
por: Axpe, Eneko, et al.
Publicado: (2020)

New survival standards for advanced melanoma
por: Spain, Lavinia, et al.
Publicado: (2020)

Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335
por: Jue, Joshua S., et al.
Publicado: (2021)

Deep learning workflow in radiology: a primer
por: Montagnon, Emmanuel, et al.
Publicado: (2020)

Bottlenecks and opportunities for synthetic biology biosafety standards
por: Pei, Lei, et al.
Publicado: (2022)

Deep learning and radiomics in precision medicine
por: Parekh, Vishwa S., et al.
Publicado: (2019)

Radiomics and Deep Learning: Hepatic Applications
por: Park, Hyo Jung, et al.
Publicado: (2020)

Comment on Ibrahim et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers 2021, 13, 1848
por: Orlhac, Fanny, et al.
Publicado: (2021)

Standardizing critical current density measurements in lithium garnets
por: Klimpel, Matthias, et al.
Publicado: (2023)

Time for a standardized system of reporting sites of genomic methylation
por: Saffery, Richard, et al.
Publicado: (2015)

COVID-19 pandemic reveals the peril of ignoring metadata standards
por: Schriml, Lynn M., et al.
Publicado: (2020)

Search for the Standard Model Higgs boson in the H->WW->2l2v channel with the CMS experiment
por: Lloret Iglesias, Lara
Publicado: (2013)

A decade after the metabolomics standards initiative it's time for a revision
por: Spicer, Rachel A., et al.
Publicado: (2017)

Examining the current standards for genetic discovery and replication in the era of mega-biobanks
por: Huffman, J. E.
Publicado: (2018)

Baricitinib for patients with severe COVID-19—time to change the standard of care?
por: Supady, Alexander, et al.
Publicado: (2022)

COVID-19 vaccination challenge: what have we learned from the Brazilian process?
por: Lotta, Gabriela, et al.
Publicado: (2022)

Radiomics, deep learning and early diagnosis in oncology
por: Wei, Peng
Publicado: (2021)

Saliva as a gold-standard sample for SARS-CoV-2 detection
por: Tan, Steph H, et al.
Publicado: (2021)

Addressing fairness in artificial intelligence for medical imaging
por: Ricci Lara, María Agustina, et al.
Publicado: (2022)

Advancing scientific knowledge in times of pandemics
por: Vabret, Nicolas, et al.
Publicado: (2020)

Optical deep-cortex exploration in behaving rhesus macaques
por: Matsuzaki, Masanori, et al.
Publicado: (2021)

Offline: The origins story—towards a Deep Ecology
por: Horton, Richard
Publicado: (2022)

Addressing the nuances of racial disparities in deep brain stimulation
por: Gilbert, Frederic, et al.
Publicado: (2023)

Barriers to COVID-19 vaccination among older adults in Mexico City
por: Gaitán-Rossi, Pablo, et al.
Publicado: (2022)

1-week hypofractionated adjuvant whole-breast radiotherapy: towards a new standard?
por: Levy, Antonin, et al.
Publicado: (2020)

WHO international standard for SARS-CoV-2 antibodies to determine markers of protection
por: Zhu, Feng, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_adrneuccfvpcufnm3oa8aak6nu