Classification of lung and colon cancer using deep learning method

M Al-Mamun Provath, K Deb, KH Jo - International Workshop on Frontiers …, 2023 - Springer
Cancer seems to have a significantly high mortality rate as a result of its aggressiveness,
significant propensity for metastasis, and heterogeneity. One of the most common types of …

Lung Cancer Prediction from CT Images and using Deep Learning Techniques

B Mamatha, D Rashmi, KS Tiwari… - … on Trends in …, 2023 - ieeexplore.ieee.org
Cellular proliferation in the lung tissues is a hallmark of lung cancer. Lung cancer is
particularly dangerous since the lungs are responsible for both breathing in oxygen and …

Lung Cancer Segmentation and Classification Using Integration of Convolutional Neural Network & Unet Network Over CT Images: A Deep Learning Approach

AB Mathews - … Journal of Management, Technology and Social …, 2022 - supublication.com
Purpose: Cellular breakdown in the lungs screening is a cycle that is utilized to recognize
the presence of cancer in the lungs in any case. Mostly it occurs among the elderly …

Segmentation and Classification of Lung Cancer using Deep Learning Techniques

SG Kanakaraddi, VS Handur, A Jalannavar… - Procedia Computer …, 2024 - Elsevier
To increase the survival rates for lung cancer, early identification and diagnosis are
essential. The detection becomes crucial for a number of reasons, including visual similarity …

Detection and Robust Classification of Lung Cancer Disease Using Hybrid Deep Learning Approach

KR Prasanna, RV Kumar, G Mohanbabu… - … Conference on Data …, 2023 - ieeexplore.ieee.org
Effective lung cancer diagnosis and treatment hinge on the early detection of lung nodules.
Various techniques, such as thresholding, pattern recognition, computer-aided diagnostics …

Deep learning neural network for lung cancer classification: enhanced optimization function

BR Pandit, A Alsadoon, PWC Prasad… - Multimedia Tools and …, 2023 - Springer
Convolutional neural network is widely used for image recognition in the medical area at
nowadays. However, overall accuracy in predicting lung tumor is low and the processing …

Detection of lung cancer using convolution neural network

C Shankara, SA Hariprasad, DU Latha - SN Computer Science, 2023 - Springer
In the modern world, one of the most prevalent and hazardous cancers is the lung cancer
disease that causes the most fatalities each year. Accurate lung cancer identification could …

Three stream network model for lung cancer classification in the CT images

T Arumuga Maria Devi, VI Mebin Jose - Open Computer Science, 2021 - degruyter.com
Lung cancer is considered to be one of the deadly diseases that threaten the survival of
human beings. It is a challenging task to identify lung cancer in its early stage from the …

Diagnosis of lung cancer using multiscale convolutional neural network

H Yektaei, M Manthouri - Biomedical Engineering: Applications …, 2020 - World Scientific
Lung cancer is one of the dangerous diseases that cause huge cancer death worldwide.
Early detection of lung cancer is the only possible way to improve a patient's chance for …

Analysis of Lungs CT Image Using Deep Learning Techniques

P Yuvarani, S Hemalatha… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Lung cancer claimed the lives of more than 1.5 million people globally in 2017, making up
26% of all cancer-related deaths. In response to this difficult circumstance, a number of …