A deep learning approach for nucleus segmentation and tumor classification from lung histopathological images

SM Jaisakthi, K Desingu, P Mirunalini, S Pavya… - … Modeling Analysis in …, 2023 - Springer
Lung cancer is the leading cause of death worldwide. Early diagnosis is crucial to improve
patients' chance of survival. Automated detection and analysis of cancer types can …

DeepJoint segmentation-based lung segmentation and hybrid optimization-enabled deep learning for lung nodule classification

P Chinniah, B Maram, P Velrajkumar… - International Journal of …, 2022 - World Scientific
Lung cancer is an aggressive disease among all cancer-based diseases, because of
causing huge mortality in humans. Thus, earlier discovery is a basic task for diagnosing lung …

Lung nodule classification using combination of CNN, second and higher order texture features

A Naik, DR Edla - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
Lung cancer is the most common cancer throughout the world and identification of malignant
tumors at an early stage is needed for diagnosis and treatment of patient thus avoiding the …

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 …

Automated classification of lung cancer types from cytological images using deep convolutional neural networks

A Teramoto, T Tsukamoto, Y Kiriyama… - BioMed research …, 2017 - Wiley Online Library
Lung cancer is a leading cause of death worldwide. Currently, in differential diagnosis of
lung cancer, accurate classification of cancer types (adenocarcinoma, squamous cell …

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 …

Efficient segmentation and classification of the lung carcinoma via deep learning

MM Yamuna Devi, J Jeyabharathi… - Multimedia Tools and …, 2024 - Springer
Lung malignancy represents a group of diseases that affect people worldwide. According to
the reports, 1.69 million people died in 2015. Presymptomatic work raises patient ability and …

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 …

Segmentation and Feature Extraction in Lung CT Images with Deep Learning Model Architecture

R Indumathi, R Vasuki - SN Computer Science, 2023 - Springer
Recently, lung cancer is observed as the most deadly disease throughout the world with a
high mortality rate. The survival rate with lung cancer is minimal due to the difficulty in …

Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks

T Nayak, N Gokulkrishnan, K Chadaga… - Cogent …, 2024 - Taylor & Francis
Lung Cancer is a major cancer in the world and specifically India. Histopathological
examination of tumorous tissue biopsy is the gold standard method used to clinically identify …