Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network

AO de Carvalho Filho, AC Silva, AC de Paiva… - Pattern Recognition, 2018 - Elsevier
Lung cancer has been recognized as the primary global cause of death among cancer
patients. This work is intended to develop a methodology for diagnosis of lung nodules …

Computer-aided diagnosis of lung nodules in computed tomography by using phylogenetic diversity, genetic algorithm, and SVM

AO de Carvalho Filho, AC Silva… - Journal of digital …, 2017 - Springer
Lung cancer is pointed as the major cause of death among patients with cancer throughout
the world. This work is intended to develop a methodology for diagnosis of lung nodules …

[HTML][HTML] Taxonomic indexes for differentiating malignancy of lung nodules on CT images

GLF Silva, AO Carvalho Filho, AC Silva… - Research on …, 2016 - SciELO Brasil
Introduction Lung cancer remains the leading cause of cancer mortality worldwide, with one
of the lowest survival rates after diagnosis. Therefore, early detection greatly increases the …

Lung-nodule classification based on computed tomography using taxonomic diversity indexes and an SVM

AO de Carvalho Filho, AC Silva, AC de Paiva… - Journal of Signal …, 2017 - Springer
The present work aims to develop a methodology for classifying lung nodules using the
LIDC-IDRI image database. The proposed methodology is based on image-processing and …

Lung nodules diagnosis based on evolutionary convolutional neural network

GLF da Silva, OP da Silva Neto, AC Silva… - Multimedia Tools and …, 2017 - Springer
Lung cancer presents the highest cause of death among patients around the world, in
addition of being one of the smallest survival rates after diagnosis. In this paper, we exploit a …

Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance

RW de Sousa Costa, GLF da Silva… - Medical & biological …, 2018 - Springer
Lung cancer presents the highest cause of death among patients around the world, in
addition of being one of the smallest survival rates after diagnosis. Therefore, this study …

A new framework for multi-scale CNN-based malignancy classification of pulmonary lung nodules

Sakshiwala, MP Singh - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Lung cancer has the highest mortality rate among all types of cancers. Early detection of
lung cancer may improve survival rates. The two categories of pulmonary lung nodules have …

Classification of malignancy of lung nodules in CT images using convolutional neural network

G da Silva, A Silva, A de Paiva… - Anais do XVI Workshop de …, 2016 - sol.sbc.org.br
Lung cancer presents the highest mortality rate, besides being one of the smallest survival
rates after diagnosis. Thereby, early detection is extremely important for the diagnosis and …

Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques

S Akram, MY Javed, A Hussain, F Riaz… - … of Experimental & …, 2015 - Taylor & Francis
A computer-aided diagnostic (CAD) system for effective and accurate pulmonary nodule
detection is required to detect the nodules at early stage. This paper proposed a novel …

[HTML][HTML] Radiomics-based features for pattern recognition of lung cancer histopathology and metastases

JRF Junior, M Koenigkam-Santos, FEG Cipriano… - Computer methods and …, 2018 - Elsevier
Background and Objectives: lung cancer is the leading cause of cancer-related deaths in the
world, and its poor prognosis varies markedly according to tumor staging. Computed …