| Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach | Mar 29, 2025 | Cancer ClassificationDeep Learning | —Unverified | 0 |
| Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection | Nov 16, 2023 | Cancer ClassificationComputed Tomography (CT) | —Unverified | 0 |
| Histopathologic Image Processing: A Review | Apr 16, 2019 | Cancer Classification | —Unverified | 0 |
| Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification | May 30, 2021 | Cancer Classificationfeature selection | —Unverified | 0 |
| HyperMM : Robust Multimodal Learning with Varying-sized Inputs | Jul 30, 2024 | Alzheimer's Disease DetectionCancer Classification | —Unverified | 0 |
| Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging | Aug 18, 2024 | Cancer ClassificationLung Cancer Diagnosis | —Unverified | 0 |
| Improving the diagnosis of breast cancer based on biophysical ultrasound features utilizing machine learning | Jul 13, 2022 | Breast Cancer DetectionCancer Classification | —Unverified | 0 |
| Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images | Dec 10, 2019 | Binary ClassificationCancer Classification | —Unverified | 0 |
| Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection | Jun 6, 2025 | Breast Cancer DetectionCancer Classification | —Unverified | 0 |
| Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline | Dec 18, 2019 | Cancer ClassificationGeneral Classification | —Unverified | 0 |
