| The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification | Aug 11, 2021 | Lung Nodule Classification | —Unverified | 0 |
| The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data | Aug 10, 2021 | ClassificationContrastive Learning | —Unverified | 0 |
| Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics | Apr 29, 2021 | Deep AttentionLung Cancer Diagnosis | —Unverified | 0 |
| Meta ordinal weighting net for improving lung nodule classification | Jan 31, 2021 | ClassificationGeneral Classification | —Unverified | 0 |
| 3D Axial-Attention for Lung Nodule Classification | Dec 28, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules | Dec 7, 2020 | Binary ClassificationClassification | —Unverified | 0 |
| ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification | Oct 29, 2020 | Cancer ClassificationComputed Tomography (CT) | —Unverified | 0 |
| Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs | Oct 19, 2020 | ClassificationDescriptive | —Unverified | 0 |
| Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality | Jul 27, 2020 | ClassificationFace Recognition | —Unverified | 0 |
| Radiomic feature selection for lung cancer classifiers | Mar 16, 2020 | BIG-bench Machine LearningClassification | —Unverified | 0 |
