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Lung Cancer Diagnosis

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Showing 1–50 of 63 papers

TitleStatusHype
Snuffy: Efficient Whole Slide Image ClassifierCode2
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomographyCode1
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learningCode1
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan DatasetsCode1
Encoding Visual Attributes in Capsules for Explainable Medical DiagnosesCode1
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary NoduleCode1
Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External ValidationCode1
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung LesionsCode1
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study—0
DCSNet: A Lightweight Knowledge Distillation-Based Model with Explainable AI for Lung Cancer Diagnosis from Histopathological Images—0
Deep Learning Applications for Lung Cancer Diagnosis: A systematic review—0
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation—0
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge—0
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules—0
Early Diagnosis of Lung Cancer Using Computer Aided Detection via Lung Segmentation Approach—0
Enhancing Early Lung Cancer Detection on Chest Radiographs with AI-assistance: A Multi-Reader Study—0
Evaluation of radiomic feature harmonization techniques for benign and malignant pulmonary nodules—0
Exploring Counterfactual Alignment Loss towards Human-centered AI—0
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks—0
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study—0
Health-related Quality of life, Financial Toxicity, Productivity Loss and Catastrophic Health Expenditures After Lung Cancer Diagnosis in Argentina—0
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study—0
How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis—0
Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images—0
Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review—0
Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging—0
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation—0
Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification—0
Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining—0
LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model—0
Lung Cancer Detection Using Machine Learning Methods—0
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics—0
Lung Tumor Location and Identification with AlexNet and a Custom CNN—0
Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis—0
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer—0
3DFPN-HS^2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection—0
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning—0
Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning—0
An automated end-to-end deep learning-based framework for lung cancer diagnosis by detecting and classifying the lung nodules—0
Automated Report Generation for Lung Cytological Images Using a CNN Vision Classifier and Multiple-Transformer Text Decoders: Preliminary Study—0
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach—0
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features—0
Semi-supervised multi-task learning for lung cancer diagnosis—0
Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data—0
Tool or Tutor? Experimental evidence from AI deployment in cancer diagnosis—0
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process—0
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