Apr 29, 2021 · In this paper, we propose a genotype-guided radiomics method (GGR) for obtaining high prediction accuracy with low cost. We used a public ...

Jun 10, 2021 · In this paper, we propose a genotype-guided radiomics method (GGR) for obtaining high prediction accuracy at a low cost.

The experiments demonstrated that the prediction accuracy can be improved significantly from 78.61% (existing radiomics method) and 79.14% (deep learning method).

The experiments demonstrated that the prediction accuracy can be improved significantly from 78.61% (existing radiomics method) and 79.09% (ResNet50) to 83.28% ...

The GGR is a two-step method which is consists of two models: the gene estimation model using deep learning and the recurrence prediction model using estimated ...

This research was created to examine the recurrence of non-small lung cancer (NSCLC) using computed-tomography images (CT-images) to avoid biopsy from patients ...

Non-small cell lung cancer (NSCLC) is a serious disease and has a high recurrence rate after surgery. Recently, many machine learning methods have been ...

Clinical Relevance—This study improved the preoperative recurrence of NSCLC prediction accuracy from 78.61% by the conventional method to 84.39% by our proposed ...

, “Genotype-guided radiomics signatures for recurrence prediction of non-small-cell lung cancer,” IEEE Access, vol. 14420, pp. 90244–90254, 2021. [18] P ...

May 2, 2023 · (2021) Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. In: 2021 43rd Annual ...