Ultrasonographic Thyroid Nodule Classification Using a Deep Convolutional Neural Network with Surgical Pathology
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-020-00362-w
Abstract: Ultrasonography with fine-needle aspiration biopsy is commonly used to detect thyroid cancer. However, thyroid ultrasonography is prone to subjective interpretations and interobserver variabilities. The objective of this study was to develop a thyroid nodule classification… read more here.
Keywords: convolutional neural; thyroid nodule; pathology; model ... See more keywords
Multi-scale pulmonary nodule classification with deep feature fusion via residual network
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-1132-5
Abstract: The early stage detection of benign and malignant pulmonary nodules plays an important role in clinical diagnosis. The malignancy risk assessment is usually used to guide the doctor in identifying the cancer stage and making… read more here.
Keywords: network; pulmonary nodule; nodule; multi scale ... See more keywords
Incorporating automatically learned pulmonary nodule attributes into a convolutional neural network to improve accuracy of benign-malignant nodule classification.
Sign Up to like & getrecommendations! Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aaf09f
Abstract: Existing deep-learning-based pulmonary nodule classification models usually use images and benign-malignant labels as inputs for training. Image attributes of the nodules, as human-nameable high-level semantic labels, are rarely used to build a convolutional neural network… read more here.
Keywords: network; pulmonary nodule; nodule; nodule classification ... See more keywords
Deep Feature Selection and Decision Level Fusion for Lungs Nodule Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3054735
Abstract: The existence of pulmonary nodules exhibits the presence of lung cancer. The Computer-Aided Diagnostic (CAD) and classification of such nodules in CT images lead to improve the lung cancer screening. The classic CAD systems utilize… read more here.
Keywords: decision level; level fusion; feature; nodule classification ... See more keywords
A-DARTS: attention-guided differentiable architecture search for lung nodule classification
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.30.1.013012
Abstract: Abstract. Lung cancer has caused the most cancer deaths in the past several years. Benign–malignant lung nodule classification is vital in lung nodule detection, which can help early diagnosis of lung cancer. Most existing works… read more here.
Keywords: nodule classification; attention; lung nodule; lung ... See more keywords
An Efficient Model for Lungs Nodule Classification Using Supervised Learning Technique
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/8262741
Abstract: Lung cancer has the highest death rate of any other cancer in the world. Detecting lung cancer early can increase a patient's survival rate. The corresponding work presents the method for improving the computer-aided detection… read more here.
Keywords: classification; lungs nodule; model; nodule classification ... See more keywords
Lung nodule classification using combination of CNN, second and higher order texture features
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent and Fuzzy Systems"
DOI: 10.3233/jifs-189847
Abstract: Lung cancer is the most common cancer throughout the world and identification of malignant tumors at an early stage is needed for diagnosis and treatment of patient thus avoiding the progression to a later stage.… read more here.
Keywords: texture features; order; lung nodule; nodule classification ... See more keywords
A Novel Hybridized Feature Extraction Approach for Lung Nodule Classification Based on Transfer Learning Technique
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Physics"
DOI: 10.4103/jmp.jmp_61_21
Abstract: Purpose: In the field of medical diagnosis, deep learning-based computer-aided detection of diseases will reduce the burden of physicians in the diagnosis of diseases especially in the case of lung cancer nodule classification. Materials and… read more here.
Keywords: hybridized feature; classification; transfer learning; lung ... See more keywords