| From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology | Apr 11, 2022 | BenchmarkingCancer Classification | CodeCode Available | 0 | 5 |
| Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner | Apr 6, 2024 | Cancer ClassificationDiversity | CodeCode Available | 0 | 5 |
| Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification | Feb 24, 2024 | Cancer ClassificationContrastive Learning | CodeCode Available | 0 | 5 |
| Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic information | Nov 29, 2023 | Cancer ClassificationClassification | CodeCode Available | 0 | 5 |
| Adversarial Augmentation for Enhancing Classification of Mammography Images | Feb 20, 2019 | Cancer ClassificationClassification | CodeCode Available | 0 | 5 |
| Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification | May 7, 2024 | Cancer ClassificationDiagnostic | CodeCode Available | 0 | 5 |
| Interpretable breast cancer classification using CNNs on mammographic images | Aug 23, 2024 | Cancer ClassificationComputational Efficiency | CodeCode Available | 0 | 5 |
| Conditional Infilling GANs for Data Augmentation in Mammogram Classification | Jul 21, 2018 | Breast Cancer DetectionCancer Classification | CodeCode Available | 0 | 5 |
| Attention-Map Augmentation for Hypercomplex Breast Cancer Classification | Oct 11, 2023 | Breast Cancer Histology Image ClassificationBreast Tumour Classification | CodeCode Available | 0 | 5 |
| Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study | Aug 29, 2024 | Breast Cancer DetectionCancer Classification | CodeCode Available | 0 | 5 |
