
Automated Lung Nodule Detection and Classification Using Deep Learning ...
Deep learning-based CT scan analysis techniques outperform radiologists in the detection of lung nodules, especially of nodule sizes of <6 mm in diameter, but classification between benign …
Effective lung nodule detection using deep CNN with dual …
Feb 16, 2024 · These CAD systems are designed to improve lung nodule diagnosis efficiency and accuracy. In this study, a bespoke convolutional neural network (CNN) with a dual attention …
Automated Pulmonary Nodule Classification and Detection Using Deep ...
Jul 19, 2022 · To achieve this objective, an automated deep learning based system is introduced for classifying and detecting lung nodules. In addition, we use novel state-of-the-art detection …
Performance of a deep-learning-based lung nodule detection system using ...
2 days ago · Purpose Artificial intelligence (AI) algorithms for lung nodule detection assist radiologists. As their performance using ultra-high-resolution CT (U-HRCT) images has not …
Automatic lung nodule classification using deep learning: CNN ...
Aug 30, 2024 · Under this study, we provide a novel Computer-Aided Identification approach for the recognition of lung nodules that is dependent on a Faster R-CNN model with a …
Utilization of artificial intelligence-based pulmonary nodule target ...
Jul 1, 2025 · It is trained extensively on lung CT imaging data, employing complex algorithms such as multi-instance deep learning (MIDL) [12, 13] and convolutional neural networks (CNN) …
[Deep Learning-driven Pulmonary Nodule Detection from CT …
Feb 8, 2023 · Automatic detection of pulmonary nodule based on CT images can significantly improve the diagnosis and treatment of lung cancer. Based on the characteristics of CT image …
Automatic lung nodule detection using a 3D deep …
Dec 1, 2018 · A 3D deep CNN with decent performance is proposed for automatic lung nodule detection. Compared with 2D CNNs, 3D CNNs can utilize 3D contextual information, encode …
Deep learning in pulmonary nodule detection and …
Deep learning demonstrates significant promise in autonomously detecting and segmenting pulmonary nodules. Future research should address methodological shortcomings and …
A systematic approach to deep learning-based nodule detection …
Jun 21, 2023 · We present a systematic comparison of state-of-the-art object detection algorithms for the task of lung nodule detection. In this regard, we address the critical aspect of class …