Работы, на которые ссылается эта работа

Работ: 9

Работа: 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
Статья2018Цитирований: 3
ABI
Texture Analysis Methods for Medical Image Characterisation
W. Brien Henry
Глава2010Цитирований: 2
ABI
CT perfusion in oncology: how to do it
Giuseppe Petralia, Luke Bonello, Stefano Viotti +3
Обзорная статья2010Цитирований: 2
ABI
Intratumor heterogeneity: Nature and biological significance
Tatiana S. Gerashchenko, Evgeny V. Denisov, Н. В. Литвяков +5
Обзорная статья2013Цитирований: 2
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
Статья2017Цитирований: 2
ABI
Cancer Metabolism and Tumor Heterogeneity: Imaging Perspectives Using MR Imaging and Spectroscopy
Gigin Lin, Kayvan R. Keshari, Jae Mo Park
Обзорная статья2017Цитирований: 2
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
Статья2019Цитирований: 2
ABI
Machine Learning–Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma
Jiliang Ren, Meng Qi, Ying Yuan +2
Статья2020Цитирований: 2
ABI
Без названия
ДругоеЦитирований: 1
ABI