| Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review | Sep 6, 2023 | Lung Cancer DiagnosisPrognosis | —Unverified | 0 |
| User lung cancer classification using efficientnet from ct scan images | Sep 3, 2023 | Cancer ClassificationComputed Tomography (CT) | —Unverified | 0 |
| Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks | Jul 13, 2023 | DecoderLung Cancer Diagnosis | —Unverified | 0 |
| An automated end-to-end deep learning-based framework for lung cancer diagnosis by detecting and classifying the lung nodules | Apr 28, 2023 | Lung Cancer DiagnosisSegmentation | —Unverified | 0 |
| LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model | Apr 10, 2023 | Lung Cancer Diagnosis | —Unverified | 0 |
| MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan | Apr 4, 2023 | Computed Tomography (CT)Decoder | —Unverified | 0 |
| DiffusionCT: Latent Diffusion Model for CT Image Standardization | Jan 20, 2023 | Computed Tomography (CT)Decoder | —Unverified | 0 |
| Enhancing Early Lung Cancer Detection on Chest Radiographs with AI-assistance: A Multi-Reader Study | Aug 31, 2022 | Lung Cancer DiagnosisSpecificity | —Unverified | 0 |
| Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer | May 30, 2022 | Few-Shot LearningLung Cancer Diagnosis | —Unverified | 0 |
| Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis | Mar 5, 2022 | BIG-bench Machine LearningLung Cancer Diagnosis | —Unverified | 0 |
