Ушбу иш иқтибос қилган ишлар

9 та иш

Иш: Choise of Statistical Processing Methods for the Results of Radcomic Analysis of CT Images of Head and Neck Tumors

LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
Christophe Nioche, Fanny Orlhac, Sarah Boughdad +7
Мақола20183 иқтибос
ABI
Texture Analysis Methods for Medical Image Characterisation
W. Brien Henry
Боб20102 иқтибос
ABI
CT perfusion in oncology: how to do it
Giuseppe Petralia, Luke Bonello, Stefano Viotti +3
Шарҳ мақола20102 иқтибос
ABI
Intratumor heterogeneity: Nature and biological significance
Tatiana S. Gerashchenko, Evgeny V. Denisov, Н. В. Литвяков +5
Шарҳ мақола20132 иқтибос
ABI
Computed Tomography Radiomics Predicts HPV Status and Local Tumor Control After Definitive Radiochemotherapy in Head and Neck Squamous Cell Carcinoma
Marta Bogowicz, Oliver Riesterer, Kristian Ikenberg +5
Мақола20172 иқтибос
ABI
Cancer Metabolism and Tumor Heterogeneity: Imaging Perspectives Using MR Imaging and Spectroscopy
Gigin Lin, Kayvan R. Keshari, Jae Mo Park
Шарҳ мақола20172 иқтибос
ABI
Prediction of Tumor Grade and Nodal Status in Oropharyngeal and Oral Cavity Squamous-cell Carcinoma Using a Radiomic Approach
Valeria Romeo, Renato Cuocolo, Carlo Ricciardi +10
Мақола20192 иқтибос
ABI
Machine Learning–Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma
Jiliang Ren, Meng Qi, Ying Yuan +2
Мақола20202 иқтибос
ABI
Сарлавҳасиз
Бошқа1 иқтибос
ABI