[HTML][HTML] An efficient combination of convolutional neural network and LightGBM algorithm for lung cancer histopathology classification

EAR Hamed, MAM Salem, NL Badr, MF Tolba - Diagnostics, 2023 - mdpi.com
The most dangerous disease in recent decades is lung cancer. The most accurate method of
cancer diagnosis, according to research, is through the use of histopathological images that …

[HTML][HTML] Exploration and enhancement of classifiers in the detection of lung cancer from histopathological images

K Shanmugam, H Rajaguru - Diagnostics, 2023 - mdpi.com
Lung cancer is a prevalent malignancy that impacts individuals of all genders and is often
diagnosed late due to delayed symptoms. To catch it early, researchers are developing …

Lung Cancer Classification Model Using Convolution Neural Network

EAR Hamed, MAM Salem, NL Badr… - … Conference on Artificial …, 2023 - Springer
Lung cancer has one of the worst mortality rates and incidence rates of any prevalent
cancers around the world, and sufferers have a better chance of surviving if the illness is …

Inception-v3 with Reduce Learning Rate for Optimization of Lung Cancer Histopathology Classification.

W Setiawan, MM Suhadi… - … des Systèmes d' …, 2024 - search.ebscohost.com
Cancer is an uncontrolled and destructive proliferation of body cells. Lung cancer is the
highest cause of death in Indonesia, especially among men. The cancer patient can be …

Lung Cancer Classification Using Combination Of Efficientnet And Visual Geometry Group Algorithm

AM Husein, R Astasachindra, PS Sormin… - Sinkron: jurnal dan …, 2024 - jurnal.polgan.ac.id
Lung cancer is one of the leading causes of mortality All around the world. It is classified into
three main types: Adenocarcinoma of the lung (ACA), Non-small cell lung cancer (N), and …