Cargando…

Editorial: Radiomics in prostate cancer imaging

Detalles Bibliográficos
Autores principales:	Brunese, Luca, Martino, Pasquale, Mischi, Massimo, Prasad, Mukesh, Santone, Antonella
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537366/ https://www.ncbi.nlm.nih.gov/pubmed/36212407 http://dx.doi.org/10.3389/fonc.2022.1010901

Ejemplares similares

Radiomics for Gleason Score Detection through Deep Learning
por: Brunese, Luca, et al.
Publicado: (2020)

On the Adoption of Radiomics and Formal Methods for COVID-19 Coronavirus Diagnosis
por: Santone, Antonella, et al.
Publicado: (2021)

Editorial: Incorporation of reporting and data systems into cancer radiology
por: López-Larrubia, Pilar, et al.
Publicado: (2023)

Early Diagnosis of Liver Metastases from Colorectal Cancer through CT Radiomics and Formal Methods: A Pilot Study
por: Rocca, Aldo, et al.
Publicado: (2021)

Editorial: The Application of Radiomics and Artificial Intelligence in Cancer Imaging
por: Huang, Hong
Publicado: (2022)

Increasing differential diagnosis between lipoma and liposarcoma through radiomics: a narrative review
por: Natella, Raffaele, et al.
Publicado: (2023)

Radiomics and Artificial Intelligence Can Predict Malignancy of Solitary Pulmonary Nodules in the Elderly
por: Elia, Stefano, et al.
Publicado: (2023)

Predicting risk of metastases and recurrence in soft-tissue sarcomas via Radiomics and Formal Methods
por: Casale, Roberto, et al.
Publicado: (2023)

Advanced Imaging of Biochemical Recurrent Prostate Cancer With PET, MRI, and Radiomics
por: Shaikh, Faiq, et al.
Publicado: (2020)

MRI Radiomics in Prostate Cancer: A Reliability Study
por: Urraro, Fabrizio, et al.
Publicado: (2021)

Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation
por: Mercaldo, Francesco, et al.
Publicado: (2023)

Machine learning for coronavirus covid-19 detection from chest x-rays
por: Brunese, Luca, et al.
Publicado: (2020)

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
por: Brunese, Luca, et al.
Publicado: (2020)

Editorial: Novel circulating biomarkers and radiomics in pancreatic cancer
por: Ren, Shuai, et al.
Publicado: (2023)

Editorial: Radiomics-based theranostics in cancer precision medicine
por: Ji, Jiansong, et al.
Publicado: (2023)

Radiomics Based on Multiparametric Magnetic Resonance Imaging to Predict Extraprostatic Extension of Prostate Cancer
por: Xu, Lili, et al.
Publicado: (2020)

Editorial: Radiomics Advances Precision Medicine
por: Gao, Bo, et al.
Publicado: (2022)

Editorial
por: Santone, Antonella
Publicado: (2021)

Editorial: Novel Methods for Oncologic Imaging Analysis: Radiomics, Machine Learning, and Artificial Intelligence
por: Xu, Hanyue, et al.
Publicado: (2021)

MRI radiomics predicts progression-free survival in prostate cancer
por: Jia, Yushan, et al.
Publicado: (2022)

Editorial: Magnetic resonance imaging applications for the diagnosis of prostate cancer
por: Preisser, Felix, et al.
Publicado: (2023)

Application Value of Radiomic Nomogram in the Differential Diagnosis of Prostate Cancer and Hyperplasia
por: Gui, Shaogao, et al.
Publicado: (2022)

Predicting Gleason Score of Prostate Cancer Patients Using Radiomic Analysis
por: Chaddad, Ahmad, et al.
Publicado: (2018)

Radiomics for Identification and Prediction in Metastatic Prostate Cancer: A Review of Studies
por: Kendrick, Jake, et al.
Publicado: (2021)

Corrigendum: MRI radiomics predicts progression-free survival in prostate cancer
por: Jia, Yushan, et al.
Publicado: (2023)

Coronavirus covid-19 detection by means of explainable deep learning
por: Mercaldo, Francesco, et al.
Publicado: (2023)

Editorial: Epigenetics in prostate cancer
por: Baniahmad, Aria, et al.
Publicado: (2023)

Editorial: Exploring the Potential of PSMA-PET Imaging on Personalized Prostate Cancer Treatment
por: Ilhan, Harun, et al.
Publicado: (2022)

Editorial: Application of radiomics in understanding tumor biological behaviors and treatment response
por: Xiao, Ningping, et al.
Publicado: (2023)

Editorial: Advances in radiotherapy for prostate cancer
por: Kamran, Sophia C., et al.
Publicado: (2022)

Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram
por: Jing, Guodong, et al.
Publicado: (2022)

MRI-Derived Radiomics to Guide Post-operative Management for High-Risk Prostate Cancer
por: Bourbonne, Vincent, et al.
Publicado: (2019)

Radiomics of Multiparametric MRI to Predict Biochemical Recurrence of Localized Prostate Cancer After Radiation Therapy
por: Zhong, Qiu-Zi, et al.
Publicado: (2020)

Use of Radiomics to Improve Diagnostic Performance of PI-RADS v2.1 in Prostate Cancer
por: Li, Mou, et al.
Publicado: (2021)

Radiomics for detecting prostate cancer bone metastases invisible in CT: a proof-of-concept study
por: Hinzpeter, Ricarda, et al.
Publicado: (2021)

Evaluation of the Efficiency of MRI-Based Radiomics Classifiers in the Diagnosis of Prostate Lesions
por: Li, Linghao, et al.
Publicado: (2022)

Editorial: Combining multiple non-invasive images and/or biochemical tests to predict prostate cancer aggressiveness
por: Mayer, Rulon, et al.
Publicado: (2023)

Editorial: Stereotactic body radiotherapy for prostate cancer
por: Kishan, Amar U., et al.
Publicado: (2022)

Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis
por: Bagher-Ebadian, Hassan, et al.
Publicado: (2019)

Editorial: Advances of radiomics and artificial intelligence in the management of patients with central nervous system tumors
por: Chen, Ziyan, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_ejhtaffou919jckbn5ai3ph65t