Deep learning techniques to diagnose lung cancer
L Wang - Cancers, 2022 - mdpi.com
Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …
research directions of deep learning techniques for lung cancer and pulmonary nodule …
Medical images segmentation for lung cancer diagnosis based on deep learning architectures
Lung cancer presents one of the leading causes of mortalities for people around the world.
Lung image analysis and segmentation are one of the primary steps used for early …
Lung image analysis and segmentation are one of the primary steps used for early …
Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing
Pre-processing is widely applied in medical image analysis to remove the interference
information. However, the existing pre-processing solutions mainly encounter two …
information. However, the existing pre-processing solutions mainly encounter two …
Voxel based morphometry of the human brain imaging in improved convolution neural network
T Arumuga Maria Devi, KS Saji - Multimedia Tools and Applications, 2024 - Springer
The accurate detection of brain tumors in humans still remains an issue. Though several
works have been proposed to detect brain tumors, only a few of them consider the voxel …
works have been proposed to detect brain tumors, only a few of them consider the voxel …
[PDF][PDF] Medical Images Segmentation for Lung Cancer Diagnosis Based on Deep Learning Architectures. Diagnostics 2023, 13, 546
Lung cancer presents one of the leading causes of mortalities for people around the world.
Lung image analysis and segmentation are one of the primary steps used for early …
Lung image analysis and segmentation are one of the primary steps used for early …
Applying Ternion Stream DCNN for real-time vehicle re-identification and tracking across multiple non-overlapping cameras
L Kalake, W Wan, Y Dong - Sensors, 2022 - mdpi.com
The increase in security threats and a huge demand for smart transportation applications for
vehicle identification and tracking with multiple non-overlapping cameras have gained a lot …
vehicle identification and tracking with multiple non-overlapping cameras have gained a lot …
An early prediction of lung cancer, solid, liquid and semi-liquid deposition and its classification through measurement of physical characteristics using CT scan images
K Karthika, GR Jothilakshmi - The Imaging Science Journal, 2022 - Taylor & Francis
The analysis of lung diseases at the early stage is a major need in medical field to overcome
the patients' severity. Thus, in the proposed work, Support Vector Machine (SVM) based …
the patients' severity. Thus, in the proposed work, Support Vector Machine (SVM) based …
[PDF][PDF] An Intelligent Decision Support System for Lung Cancer Diagnosis.
AA Alsheikhy, YF Said, TA Shawly - Comput. Syst. Sci. Eng., 2023 - academia.edu
Lung cancer is the leading cause of cancer-related death around the globe. The treatment
and survival rates among lung cancer patients are significantly impacted by early diagnosis …
and survival rates among lung cancer patients are significantly impacted by early diagnosis …
Yeni bir Evrişimsel Sinir Ağı Modeli Kullanarak Bilgisayarlı Tomografi Görüntülerinden Akciğer Kanseri Tespiti
Akciğer kanseri, ülkemizde ve dünyada yaygın bir şekilde görülen kanser tipidir ve kansere
bağlı ölümlerde ilk sırada yer almaktadır. Akciğer kanserinin erken teşhisi, hastalık seyri …
bağlı ölümlerde ilk sırada yer almaktadır. Akciğer kanserinin erken teşhisi, hastalık seyri …
Deep Learning Techniques to Diagnose Lung Cancer. Cancers 2022, 14, 5569
L Wang - 2022 - europepmc.org
Medical imaging tools are essential in early-stage lung cancer diagnostics and the
monitoring of lung cancer during treatment. Various medical imaging modalities, such as …
monitoring of lung cancer during treatment. Various medical imaging modalities, such as …