Recent advancements in deep learning based lung cancer detection: A systematic review

S Dodia, B Annappa, PA Mahesh - Engineering Applications of Artificial …, 2022 - Elsevier
Cancer is considered to be a key cause of substantial fatality and morbidity in the world. A
report from the International Agency for Research on Cancer (IARC) states that 27 million …

Medical image data augmentation: techniques, comparisons and interpretations

E Goceri - Artificial Intelligence Review, 2023 - Springer
Designing deep learning based methods with medical images has always been an attractive
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …

Systematic review for lung cancer detection and lung nodule classification: Taxonomy, challenges, and recommendation future works

MM Jassim, MM Jaber - Journal of Intelligent Systems, 2022 - degruyter.com
Nowadays, lung cancer is one of the most dangerous diseases that require early diagnosis.
Artificial intelligence has played an essential role in the medical field in general and in …

[PDF][PDF] Lung Cancer Detection Using Modified AlexNet Architecture and Support Vector Machine.

I Naseer, T Masood, S Akram, A Jaffar… - … Materials & Continua, 2023 - cdn.techscience.cn
Lung cancer is the most dangerous and death-causing disease indicated by the presence of
pulmonary nodules in the lung. It is mostly caused by the instinctive growth of cells in the …

[HTML][HTML] A novel Deep Learning architecture for lung cancer detection and diagnosis from Computed Tomography image analysis

LJ Crasta, R Neema, AR Pais - Healthcare Analytics, 2024 - Elsevier
Timely identification of lung nodules, which are precursors to lung cancer, and their
evaluation can significantly reduce the incidence rate. Computed Tomography (CT) is the …

A novel benign and malignant classification model for lung nodules based on multi-scale interleaved fusion integrated network

E Lv, X Kang, P Wen, J Tian, M Zhang - Scientific Reports, 2024 - nature.com
One of the precursors of lung cancer is the presence of lung nodules, and accurate
identification of their benign or malignant nature is important for the long-term survival of …

Pulmonary nodule detection based on multiscale feature fusion

Y Zhao, Z Wang, X Liu, Q Chen, C Li… - … Methods In Medicine, 2022 - Wiley Online Library
As cancer with the highest morbidity and mortality in the world, lung cancer is characterized
by pulmonary nodules in the early stage. The detection of pulmonary nodules is an …

[PDF][PDF] Pulmonary Nodule Detection, Segmentation and Classification Using Deep Learning: A Comprehensive Literature Review

I Marinakis, K Karampidis, G Papadourakis - BioMedInformatics, 2024 - researchgate.net
Lung cancer is a leading cause of cancer-related deaths worldwide, emphasizing the
significance of early detection. Computer-aided diagnostic systems have emerged as …

A proposed methodology for detecting the malignant potential of pulmonary nodules in sarcoma using computed tomographic imaging and artificial intelligence-based …

E Baidya Kayal, S Ganguly, A Sasi, S Sharma… - Frontiers in …, 2023 - frontiersin.org
The presence of lung metastases in patients with primary malignancies is an important
criterion for treatment management and prognostication. Computed tomography (CT) of the …

Enhanced Lung Cancer Detection and Classification with mRMR-Based Hybrid Deep Learning Model

S Zafar, J Ahmad, Z Mubeen, G Mumtaz - Journal of Computing & …, 2024 - jcbi.org
Among the most common and fatal malignant tumors worldwide is lung cancer (LC).
Generally, it has a poorer five-year survival rate than many other well-known tumors …