A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Background Lung diseases, both infectious and non-infectious, are the most prevalent
cause of mortality overall in the world. Medical research has identified pneumonia, lung …
cause of mortality overall in the world. Medical research has identified pneumonia, lung …
[PDF][PDF] Lung Nodule Segmentation Using Cat Swarm Optimization Based Recurrent Neural Network.
S Basavarajappa, S Mahesh - … Journal of Intelligent Engineering & Systems, 2023 - inass.org
Nodule segmentation in lung computed tomography (CT) images is a significant part of the
detection and diagnosis of lung cancer. Automatic analysis of lung CT images is necessary …
detection and diagnosis of lung cancer. Automatic analysis of lung CT images is necessary …
A 3D prediction model for benign or malignant of pulmonary nodules based on neural architecture search
L Yang, S Mei, P Liang, Y Li, L Ma, J Gao… - Signal, Image and Video …, 2024 - Springer
Lung cancer poses a huge threat to human life and health. Early diagnosis and early
treatment are the most effective means to improve patient survival and reduce mortality …
treatment are the most effective means to improve patient survival and reduce mortality …
Sunil Kumar and Vishal Awasthi
AP Yadav, S Tripathi, P Chhabra - api.taylorfrancis.com
Non-small cell lung cancer (also known as NSCLC) is responsible for the majority of lung
cancer diagnoses worldwide. Lung cancer is one of the most commonly seen types of the …
cancer diagnoses worldwide. Lung cancer is one of the most commonly seen types of the …