SOTAVerified

Lung Cancer Diagnosis

Papers

Showing 125 of 63 papers

TitleStatusHype
Snuffy: Efficient Whole Slide Image ClassifierCode2
Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External ValidationCode1
MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary NoduleCode1
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan DatasetsCode1
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung LesionsCode1
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomographyCode1
Encoding Visual Attributes in Capsules for Explainable Medical DiagnosesCode1
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learningCode1
Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification0
DCSNet: A Lightweight Knowledge Distillation-Based Model with Explainable AI for Lung Cancer Diagnosis from Histopathological Images0
Explainability Through Human-Centric Design for XAI in Lung Cancer DetectionCode0
Vision-Language Model-Based Semantic-Guided Imaging Biomarker for Early Lung Cancer Detection0
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction0
Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining0
Tool or Tutor? Experimental evidence from AI deployment in cancer diagnosis0
Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning0
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 nodules0
Medical Artificial Intelligence for Early Detection of Lung Cancer: A SurveyCode0
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation0
Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data0
Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging0
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 cases0
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