An appraisal of lung nodules automatic classification algorithms for CT images
X Wang, K Mao, L Wang, P Yang, D Lu, P He - Sensors, 2019 - mdpi.com
Lung cancer is one of the most deadly diseases around the world representing about 26% of
all cancers in 2017. The five-year cure rate is only 18% despite great progress in recent …
all cancers in 2017. The five-year cure rate is only 18% despite great progress in recent …
Review on lung nodule segmentation-based lung cancer classification using machine learning approaches
Lung cancer or lung carcinoma is one of the major reasons for non-accidental death in the
world with a high fatality rate in both men and women. The major cause of lung cancer is …
world with a high fatality rate in both men and women. The major cause of lung cancer is …
Systematic review for lung cancer detection and lung nodule classification: Taxonomy, challenges, and recommendation future works
Nowadays, lung cancer is one of the most dangerous diseases that require early diagnosis.
Artificial intelligence has played an essential role in the medical field in general and in …
Artificial intelligence has played an essential role in the medical field in general and in …
Lung nodule classification on computed tomography images using deep learning
Lung Cancer is the most fast growing cancer around the world and is mostly diagnosed at
an advanced stage. Due to enhancement in medical imaging modalities like Computed …
an advanced stage. Due to enhancement in medical imaging modalities like Computed …
An appraisal of nodule diagnosis for lung cancer in CT images
G Zhang, Z Yang, L Gong, S Jiang, L Wang… - Journal of medical …, 2019 - Springer
As “the second eyes” of radiologists, computer-aided diagnosis systems play a significant
role in nodule detection and diagnosis for lung cancer. In this paper, we aim to provide a …
role in nodule detection and diagnosis for lung cancer. In this paper, we aim to provide a …
Lung nodule detection and classification using 2D and 3D convolution neural networks (CNNs)
In the world, lung malignancy is one of the major causes of death related to cancer. In the
initial stages, patients do not show any symptoms or signs, resulting in 75% of patients being …
initial stages, patients do not show any symptoms or signs, resulting in 75% of patients being …
A novel computer‐aided lung nodule detection system for CT images
Purpose: The paper presents a complete computer‐aided detection (CAD) system for the
detection of lung nodules in computed tomography images. A new mixedfeature selection …
detection of lung nodules in computed tomography images. A new mixedfeature selection …
A new framework for multi-scale CNN-based malignancy classification of pulmonary lung nodules
Sakshiwala, MP Singh - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Lung cancer has the highest mortality rate among all types of cancers. Early detection of
lung cancer may improve survival rates. The two categories of pulmonary lung nodules have …
lung cancer may improve survival rates. The two categories of pulmonary lung nodules have …
Deep learning applications in computed tomography images for pulmonary nodule detection and diagnosis: A review
Lung cancer has one of the highest mortality rates of all cancers and poses a severe threat
to people's health. Therefore, diagnosing lung nodules at an early stage is crucial to …
to people's health. Therefore, diagnosing lung nodules at an early stage is crucial to …
Computer-aided classification of lung nodules on computed tomography images via deep learning technique
Lung cancer has a poor prognosis when not diagnosed early and unresectable lesions are
present. The management of small lung nodules noted on computed tomography scan is …
present. The management of small lung nodules noted on computed tomography scan is …