SOTAVerified

Lung Cancer Diagnosis

Papers

Showing 1–25 of 63 papers

TitleStatusHype
Snuffy: Efficient Whole Slide Image ClassifierCode2
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomographyCode1
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
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan DatasetsCode1
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
Encoding Visual Attributes in Capsules for Explainable Medical DiagnosesCode1
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learningCode1
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung LesionsCode1
An automated end-to-end deep learning-based framework for lung cancer diagnosis by detecting and classifying the lung nodules—0
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study—0
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning—0
Exploring Counterfactual Alignment Loss towards Human-centered AI—0
DCSNet: A Lightweight Knowledge Distillation-Based Model with Explainable AI for Lung Cancer Diagnosis from Histopathological Images—0
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features—0
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning—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
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge—0
Enhancing Early Lung Cancer Detection on Chest Radiographs with AI-assistance: A Multi-Reader Study—0
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach—0
Evaluation of radiomic feature harmonization techniques for benign and malignant pulmonary nodules—0
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation—0
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