SOTAVerified

Lung Cancer Diagnosis

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 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
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.