Integrating deep and radiomics features in cancer bioimaging
Andrea Bizzego, Nicole Bussola, D. Salvalai, Marco Chierici, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello
The paper introduces a framework combining deep learning and radiomics for cancer prognosis using CT and PET imaging, showing improved accuracy over single-method approaches.
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) · Jul 1, 2019Peer-reviewedBioinformatics