Predicting lung cancer risk using explainable artificial intelligence
Lung cancer is a lethal disease that claims numerous lives annually, and early detection is
essential for improving survival rates. Machine learning has shown promise in predicting …
essential for improving survival rates. Machine learning has shown promise in predicting …
Automated DeepLabV3+ based model for left ventricle segmentation on short-axis late gadolinium enhancementmagnetic cardiac resonance imaging images.
DS Awang Damit, SN Sulaiman… - … Journal of Electrical …, 2024 - search.ebscohost.com
Accurate segmentation of myocardial scar tissue on late gadolinium enhancement-magnetic
cardiac resonance imaging (LGE-CMR) is exceptionally vital for clinical applications …
cardiac resonance imaging (LGE-CMR) is exceptionally vital for clinical applications …
[HTML][HTML] Lung cancer detection via deep learning-based pyramid network with honey badger algorithm
KK Thanammal - Measurement: Sensors, 2024 - Elsevier
Lung carcinoma is a fatal illness characterized by the unchecked growth of tumors in the
respiratory tract. A diagnosis of cancers and their dimensions and forms are often difficult to …
respiratory tract. A diagnosis of cancers and their dimensions and forms are often difficult to …
Application of Geometric Features on Lung Lesion and Non-Lesion Segmentation
Lung cancer is the most prevalent cancer globally, with 1.6 million deaths annually. This is
very crucial to develop a new CAD system that will aid medical experts in treating patients …
very crucial to develop a new CAD system that will aid medical experts in treating patients …
A New Regression Method for Diagnosis of Lung Cancer Disease
A radiologist typically diagnoses lung cancer by visually inspecting Computed Tomography
(CT) scan images. The procedure is time-consuming, tedious, and prone to errors. Aside …
(CT) scan images. The procedure is time-consuming, tedious, and prone to errors. Aside …
Segmentation of Lung Regions for the Detection of Juxta-Pleura Nodules in CT Scan
B Sasidhar - International Conference on Intelligent Computing and …, 2022 - Springer
Extraction of lung fields helps in reducing the time taken for the recognition of juxta-pleura
lung nodules. The existing approaches cannot extract pleura with juxta-pleura nodules. In …
lung nodules. The existing approaches cannot extract pleura with juxta-pleura nodules. In …
Improved Lung Lesion Localization in Ct Scan Images: A Statistical Approach for Enhanced Detection
Artificial Intelligence tools rely on a big sample amount of data to effectively extract
significant features that can recognize patterns for classification purposes and extensively …
significant features that can recognize patterns for classification purposes and extensively …