Lung nodule detection from feature engineering to deep learning in thoracic CT images: a comprehensive review
This paper presents a systematic review of the literature focused on the lung nodule
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …
Deep learning neural networks for medical image segmentation of brain tumours for diagnosis: a recent review and taxonomy
S Devunooru, A Alsadoon, PWC Chandana… - Journal of Ambient …, 2021 - Springer
Brain tumour identification with traditional magnetic resonance imaging (MRI) tends to be
time-consuming and in most cases, reading of the resulting images by human agents is …
time-consuming and in most cases, reading of the resulting images by human agents is …
A two-stage convolutional neural networks for lung nodule detection
H Cao, H Liu, E Song, G Ma, X Xu, R **… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Early detection of lung cancer is an effective way to improve the survival rate of patients. It is
a critical step to have accurate detection of lung nodules in computed tomography (CT) …
a critical step to have accurate detection of lung nodules in computed tomography (CT) …
LCD-capsule network for the detection and classification of lung cancer on computed tomography images
Lung cancer is the second most prominent cancer in men and women, and it is also the
leading cause of cancer-related mortality. If lung cancer is diagnosed early, when it is …
leading cause of cancer-related mortality. If lung cancer is diagnosed early, when it is …
Stbi-yolo: A real-time object detection method for lung nodule recognition
K Liu - IEEE Access, 2022 - ieeexplore.ieee.org
Lung cancer is the most prevalent and deadly oncological disease in the world, but a timely
detection of lung nodules can greatly improve the survival rate of this disease. However, due …
detection of lung nodules can greatly improve the survival rate of this disease. However, due …
A survey on the optimization of artificial neural networks using swarm intelligence algorithms
Artificial Neural Networks (ANNs) are becoming increasingly useful in numerous areas as
they have a myriad of applications. Prior to using ANNs, the network structure needs to be …
they have a myriad of applications. Prior to using ANNs, the network structure needs to be …
Using 2D CNN with Taguchi parametric optimization for lung cancer recognition from CT images
CJ Lin, SY Jeng, MK Chen - Applied Sciences, 2020 - mdpi.com
Lung cancer is one of the common causes of cancer deaths. Early detection and treatment of
lung cancer is essential. However, the detection of lung cancer in patients produces many …
lung cancer is essential. However, the detection of lung cancer in patients produces many …
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment
This paper presents an alternative early disease detection technique based on the Internet
of Medical Things (IoMT) to improve the healthcare system. Since it is necessary to address …
of Medical Things (IoMT) to improve the healthcare system. Since it is necessary to address …
Pulmonary nodule detection in medical images: a survey
Malignant nodules may be due to primary tumors or a metastasis and, given the importance
of diagnosing early primary lung tumors, the detection of pulmonary nodules is critical …
of diagnosing early primary lung tumors, the detection of pulmonary nodules is critical …
A novel deep learning framework for lung nodule detection in 3d CT images
R Majidpourkhoei, M Alilou, K Majidzadeh… - Multimedia Tools and …, 2021 - Springer
Lung cancer is one of the deadliest cancers all over the world. One of the indications of lung
cancers is the presence of the lung nodules which can appear individually or attached to the …
cancers is the presence of the lung nodules which can appear individually or attached to the …