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Lung Cancer Diagnosis

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Showing 1–50 of 63 papers

TitleStatusHype
Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification—0
Explainability Through Human-Centric Design for XAI in Lung Cancer DetectionCode0
DCSNet: A Lightweight Knowledge Distillation-Based Model with Explainable AI for Lung Cancer Diagnosis from Histopathological Images—0
Vision-Language Model-Based Semantic-Guided Imaging Biomarker for Early Lung Cancer Detection—0
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining—0
Tool or Tutor? Experimental evidence from AI deployment in cancer diagnosis—0
Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning—0
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide ImagesCode0
Evaluation of radiomic feature harmonization techniques for benign and malignant pulmonary nodules—0
Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External ValidationCode1
Medical Artificial Intelligence for Early Detection of Lung Cancer: A SurveyCode0
MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary NoduleCode1
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation—0
Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data—0
Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging—0
Snuffy: Efficient Whole Slide Image ClassifierCode2
A Cross Spatio-Temporal Pathology-based Lung Nodule DatasetCode0
No winners: Performance of lung cancer prediction models depends on screening-detected, incidental, and biopsied pulmonary nodule use cases—0
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan DatasetsCode1
Lung Cancer Detection Using Machine Learning Methods—0
Automated Report Generation for Lung Cytological Images Using a CNN Vision Classifier and Multiple-Transformer Text Decoders: Preliminary Study—0
NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction—0
Health-related Quality of life, Financial Toxicity, Productivity Loss and Catastrophic Health Expenditures After Lung Cancer Diagnosis in Argentina—0
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung LesionsCode1
Exploring Counterfactual Alignment Loss towards Human-centered AI—0
Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review—0
User lung cancer classification using efficientnet from ct scan images—0
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks—0
An automated end-to-end deep learning-based framework for lung cancer diagnosis by detecting and classifying the lung nodules—0
LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model—0
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomographyCode1
Enhancing Early Lung Cancer Detection on Chest Radiographs with AI-assistance: A Multi-Reader Study—0
Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer—0
Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis—0
Deep Learning Applications for Lung Cancer Diagnosis: A systematic review—0
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study—0
Early Diagnosis of Lung Cancer Using Computer Aided Detection via Lung Segmentation Approach—0
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics—0
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation—0
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study—0
Encoding Visual Attributes in Capsules for Explainable Medical DiagnosesCode1
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning—0
3DFPN-HS^2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection—0
Deep 3D Convolutional Neural Network for Automated Lung Cancer Diagnosis—0
Knowledge-based Analysis for Mortality Prediction from CT ImagesCode0
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networksCode0
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