Lung cancer prediction and classification based on correlation selection method using machine learning techniques
DM Abdullah, AM Abdulazeez… - Qubahan Academic …, 2021 - journal.qubahan.com
Lung cancer is one of the leading causes of mortality in every country, affecting both men
and women. Lung cancer has a low prognosis, resulting in a high death rate. The computing …
and women. Lung cancer has a low prognosis, resulting in a high death rate. The computing …
Federated learning: a deep learning model based on resnet18 dual path for lung nodule detection
L Liu, K Fan, M Yang - Multimedia Tools and Applications, 2023 - Springer
Lung nodule detection is of vital importance in the prevention of lung cancer. In the past two
decades, most machine learning and deep learning approaches have focused on training …
decades, most machine learning and deep learning approaches have focused on training …
A Review on Occluded Object Detection and Deep Learning-Based Approach in Medical Imaging-Related Research
KR Jamaluddin, S Ibrahim - Journal of Advanced Research in …, 2023 - semarakilmu.com.my
Medical image occlusions can arise due to several factors, including anatomical features,
imaging modality, and acquisition settings. Object occlusion occurrence has a very …
imaging modality, and acquisition settings. Object occlusion occurrence has a very …
Diabetic retinopathy grading from color fundus images: an autotuned deep learning approach
Diabetic Retinopathy (DR) is a consequence of long-term diabetes which affects the eyes. It
causes affliction to the veins in the eyes causing raptures on the retina which can impact …
causes affliction to the veins in the eyes causing raptures on the retina which can impact …
Early Detection of Lung Nodules Using a Revolutionized Deep Learning Model
According to the WHO (World Health Organization), lung cancer is the leading cause of
cancer deaths globally. In the future, more than 2.2 million people will be diagnosed with …
cancer deaths globally. In the future, more than 2.2 million people will be diagnosed with …
A Review on Detection of Lung Cancer Using Ensemble of Classifiers with CNN
P Nagaraj, SJ Subhashini - 2023 2nd International …, 2023 - ieeexplore.ieee.org
A thorough understanding of lung cancer and tumor development pathways has made
significant advancements in lung cancer treatment. Lung cancer diagnosis and treatment in …
significant advancements in lung cancer treatment. Lung cancer diagnosis and treatment in …
A novel deep learning approach for the detection and classification of lung nodules from ct images
VK Gugulothu, S Balaji - Multimedia tools and applications, 2023 - Springer
Abstract In a conventional Computer-Aided Detection (CAD) system, complexity is seen in
the classification procedure of Lung Nodule Detection (LND). Lower classification accuracy …
the classification procedure of Lung Nodule Detection (LND). Lower classification accuracy …
Multi-Orientation local texture features for guided attention-based fusion in lung nodule classification
Computerized tomography (CT) scan images are widely used in automatic lung cancer
detection and classification. The lung nodules' texture distribution throughout the CT scan …
detection and classification. The lung nodules' texture distribution throughout the CT scan …
Ensemble deep learning model for breast histopathology image classification
A Venugopal, V Sreelekshmi, JJ Nair - ICT Infrastructure and Computing …, 2022 - Springer
Breast cancer is a life-threatening disease that affects individuals all over the world. As a
consequence, effective and precise breast cancer screening is crucial. Early detection of …
consequence, effective and precise breast cancer screening is crucial. Early detection of …
Utilizing Visual Geometry Group (VGG16) and InceptionV3 convolutional Neural Network (CNN) models for accurate diagnosis of lung cancer: an Artificial Intelligence …
In recent times, artificial intelligence (AI) has emerged in every field, and its applications are
rapidly expanding in the medical sector, specifically for lung cancer. Different reasons can …
rapidly expanding in the medical sector, specifically for lung cancer. Different reasons can …