[PDF][PDF] 阁EasyChair Preprint

G Torres, JR Dueñas, SB Mena - 2023 - refbase.cvc.uab.es
Radiomics has become a reference tool for the early diagnosis of cancer in screening
programs. Radiomics involves the extraction of a large number of quantitative features from …

[PDF][PDF] Prediction of Malignancy in Lung Cancer using several strategies for the fusion of Multi-Channel Pyradiomics Images

S Barcelona, HUGT i Pujol - 2023 - easychair.org
Radiomics has become a reference tool for the early diagnosis of cancer in screening
programs. Radiomics involves the extraction of a large number of quantitative features from …

Prediction of Malignancy in Lung Cancer using several strategies for the fusion of Multi-Channel Pyradiomics Images

G Torres, JR Dueñas, SB Mena… - … on Symbolic and …, 2023 - ieeexplore.ieee.org
Radiomics has become a reference tool for the early diagnosis of cancer in screening
programs. Radiomics involves the extraction of a large number of quantitative features from …

[PDF][PDF] Prediction of Malignancy in Lung Cancer using several strategies for the fusion of Multi-Channel Pyradiomics Images

JR Duenas - ddd.uab.cat
This study presents the process of generation and subsequent study of the representation
space obtained by extracting GLCM texture features from computed tomography (CT) of …

Prediction of malignancy in lung cancer using several strategies for the fusion of multi-channel pyradiomics images

J Rodríguez Dueñas - 2023 - ddd.uab.cat
Aquest treball mostra el proces de generació i el posterior estudi de l'espai de representació
que obtenim extraient característiques de textura GLCM de tomografies assistides per …

Deep radiomics: deep learning on radiomics texture images

R Paul, S Kariev, D Cherezov… - Medical Imaging …, 2021 - spiedigitallibrary.org
Lung cancer has high mortality and occurrence worldwide. Radiomics is a method for
extracting quantitative features from medical images that can be used for predictive analysis …

Towards deep radiomics: nodule malignancy prediction using CNNs on feature images

R Paul, D Cherezov, MB Schabath… - Medical Imaging …, 2019 - spiedigitallibrary.org
Lung cancer is a leading cause of cancer-related death worldwide and in the USA. Low
Dose Computed tomography (LDCT) is the primary method of detection and diagnosis of …

[HTML][HTML] Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules

M Selvam, A Chandrasekharan, A Sadanandan… - Scientific Reports, 2023 - nature.com
In an observational study conducted from 2016 to 2021, we assessed the utility of radiomics
in differentiating between benign and malignant lung nodules detected on computed …

[HTML][HTML] Rank acquisition impact on radiomics estimation (AсquIRE) in chest CT imaging: A retrospective multi-site, multi-use-case study

D Cherezov, VS Viswanathan, P Fu, A Gupta… - Computer methods and …, 2024 - Elsevier
Background Radiomics is a method within medical image analysis that involves the
extraction of quantitative data from radiologic scans, often in conjunction with machine …

Lung Cancer Detecting using Radiomics Features and Machine Learning Algorithm

MN Rajesh, N Tanni, ZT Baig - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Lung Cancer Incidence across the globe is the second leading cancer type tallying to about
2,206,771 during 2020 and is estimated to rise to about 3,503,378 by 2040 for both male …