MRI-based habitat imaging in cancer treatment: current technology, applications, and challenges
S Li, Y Dai, J Chen, F Yan, Y Yang - Cancer Imaging, 2024 - Springer
Extensive efforts have been dedicated to exploring the impact of tumor heterogeneity on
cancer treatment at both histological and genetic levels. To accurately measure intra-tumoral …
cancer treatment at both histological and genetic levels. To accurately measure intra-tumoral …
Sub-region based radiomics analysis for prediction of isocitrate dehydrogenase and telomerase reverse transcriptase promoter mutations in diffuse gliomas
H Zhang, Y Ouyang, Y Zhang, R Su, B Zhou, W Yang… - Clinical Radiology, 2024 - Elsevier
AIM To enhance the prediction of mutation status of isocitrate dehydrogenase (IDH) and
telomerase reverse transcriptase (TERT) promoter, which are crucial for glioma …
telomerase reverse transcriptase (TERT) promoter, which are crucial for glioma …
[HTML][HTML] Reproducible and interpretable machine learning-based radiomic analysis for overall survival prediction in glioblastoma multiforme
Simple Summary This study aimed to develop and validate a radiomic model for predicting
overall survival (OS) in glioblastoma multiforme (GBM) patients using pre-treatment MRI …
overall survival (OS) in glioblastoma multiforme (GBM) patients using pre-treatment MRI …
Stability of Radiomic Models and Strategies to Enhance Reproducibility
A Chaddad, X Liang - IEEE Transactions on Radiation and …, 2024 - ieeexplore.ieee.org
Radiomics is a progressive field aiming to quantitatively assess the diversity within and
between tumors using image analysis. It holds tremendous promise for tracking tumor …
between tumors using image analysis. It holds tremendous promise for tracking tumor …
Towards robust radiomics and radiogenomics predictive models for brain tumor characterization
M Nadeem, A Shaheen, MFA Chaudhary… - arXiv preprint arXiv …, 2024 - arxiv.org
In the context of brain tumor characterization, we focused on two key questions:(a) stability of
radiomics features to variability in multiregional segmentation masks obtained with fully …
radiomics features to variability in multiregional segmentation masks obtained with fully …
Prediction of the benign and malignant nature of masses in COPD background based on Habitat-based enhanced CT radiomics modeling: A preliminary study
W Zuo, J Li, M Zuo, M Li, S Zhou… - Technology and Health …, 2024 - content.iospress.com
BACKGROUND: It is difficult to differentiate between chronic obstructive pulmonary disease
(COPD)-peripheral bronchogenic carcinoma (COPD-PBC) and inflammatory masses …
(COPD)-peripheral bronchogenic carcinoma (COPD-PBC) and inflammatory masses …
[PDF][PDF] 基于MRI 的生境影像组学预测子宫内膜癌分子亚型的双中心临床研究
金文韬， 王添平， 陈晓军， 张国福， 李海明… - 复旦学报(医学版), 2024 - jms.fudan.edu.cn
目的建立基于MRI 术前子宫内膜癌(endometrial cancer, EC) 的分子亚型的生境影像组学预测
模型. 方法回顾性收集2 家医学中心经病理证实的EC 患者, 分别纳入训练组(n= 270) …
模型. 方法回顾性收集2 家医学中心经病理证实的EC 患者, 分别纳入训练组(n= 270) …
[PDF][PDF] Machine Learning in Brain Tumors and Their Habitat: A Systematic Review. Cancers 2023, 15, 3845. h ps
M Tabassum, AA Suman… - doi. org/10.3390 …, 2023 - pdfs.semanticscholar.org
Radiomics is a rapidly evolving field that involves extracting and analysing quantitative
features from medical images, such as computed tomography or magnetic resonance …
features from medical images, such as computed tomography or magnetic resonance …
Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review
Simple Summary Radiomics involves the extraction of quantitative features from medical
images, which can provide more detailed and objective information about the features of a …
images, which can provide more detailed and objective information about the features of a …
Computer-aided analysis of complex neurological data for age-based classification of upper limbs motor performance and radiomics-based survival prediction of brain …
A Shaheen - 2023 - air.uniud.it
Nowadays, the availability of an ever-increasing amount of digital medical data collected
through heterogeneous sources such as healthcare systems, sensors, and mobile consumer …
through heterogeneous sources such as healthcare systems, sensors, and mobile consumer …