Improving the predictive ability of radiomics-based regression survival models through incorporating multiple regions of interest
Radiomic features, numeric values extracted from a region of interest (ROI) in medical
images, can be used to train prognostic models for various types of cancer. However, in …
images, can be used to train prognostic models for various types of cancer. However, in …
Towards the use of multiple ROIs for radiomics-based survival modelling: finding a strategy of aggregating lesions
AM Wilk, A Swierniak, A d'Amico, R Suwiński… - arXiv preprint arXiv …, 2024 - arxiv.org
The main objective of this work is to explore the possibility of incorporating radiomic
information from multiple lesions into survival models. We hypothesise that when more …
information from multiple lesions into survival models. We hypothesise that when more …
[PDF][PDF] System Modeling and Machine Learning in Prediction of Metastases in Lung Cancer.
The aim of this paper is to present goals and preliminary results of our project devoted to
system engineering approach in prediction of metastases in lung cancer. More specifically …
system engineering approach in prediction of metastases in lung cancer. More specifically …