Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE.

IF 3.5 2区医学 Q2 ONCOLOGY

Cancer Imaging Pub Date : 2025-08-19 DOI:10.1186/s40644-025-00926-5

Nan Wei, René Michael Mathy, De-Hua Chang, Philipp Mayer, Jakob Liermann, Christoph Springfeld, Michael T Dill, Thomas Longerich, Georg Lurje, Hans-Ulrich Kauczor, Mark O Wielpütz, Osman Öcal

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基于纵向ce - mri的Siamese网络与机器学习预测debtace后HCC的肿瘤反应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cancer Imaging ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

CiteScore

7.00

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Cancer Imaging is an open access, peer-reviewed journal publishing original articles, reviews and editorials written by expert international radiologists working in oncology. The journal encompasses CT, MR, PET, ultrasound, radionuclide and multimodal imaging in all kinds of malignant tumours, plus new developments, techniques and innovations. Topics of interest include: Breast Imaging Chest Complications of treatment Ear, Nose & Throat Gastrointestinal Hepatobiliary & Pancreatic Imaging biomarkers Interventional Lymphoma Measurement of tumour response Molecular functional imaging Musculoskeletal Neuro oncology Nuclear Medicine Paediatric.