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| Health-related Quality of life, Financial Toxicity, Productivity Loss and Catastrophic Health Expenditures After Lung Cancer Diagnosis in Argentina | Dec 27, 2023 | Lung Cancer Diagnosis | —Unverified | 0 |
| Exploring Counterfactual Alignment Loss towards Human-centered AI | Oct 3, 2023 | Attributecounterfactual | —Unverified | 0 |
| 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 |
| Deep Learning Applications for Lung Cancer Diagnosis: A systematic review | Jan 1, 2022 | ArticlesDeep Learning | —Unverified | 0 |
| Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study | Sep 6, 2021 | Computed Tomography (CT)Decoder | —Unverified | 0 |
| Early Diagnosis of Lung Cancer Using Computer Aided Detection via Lung Segmentation Approach | Jul 23, 2021 | ClusteringLung Cancer Diagnosis | —Unverified | 0 |
| Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics | Apr 29, 2021 | Deep AttentionLung Cancer Diagnosis | —Unverified | 0 |
| Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation | Feb 22, 2021 | DiagnosticLung Cancer Diagnosis | —Unverified | 0 |
| Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study | Oct 8, 2020 | Computed Tomography (CT)Decision Making | —Unverified | 0 |
| Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning | Jul 25, 2019 | Lung Cancer DiagnosisSelf-Supervised Learning | —Unverified | 0 |
| 3DFPN-HS^2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection | Jun 8, 2019 | Lung Cancer DiagnosisSensitivity | —Unverified | 0 |
| Deep 3D Convolutional Neural Network for Automated Lung Cancer Diagnosis | May 4, 2019 | General ClassificationLung Cancer Diagnosis | —Unverified | 0 |
| Knowledge-based Analysis for Mortality Prediction from CT Images | Feb 20, 2019 | Clinical KnowledgeLung Cancer Diagnosis | CodeCode Available | 0 |