[HTML][HTML] Homology-based image processing for automatic classification of histopathological images of lung tissue
M Nishio, M Nishio, N Jimbo, K Nakane - Cancers, 2021 - mdpi.com
Simple Summary The purpose of this study was to develop a computer-aided diagnosis
(CAD) system for automatic classification of histopathological images of lung tissues …
(CAD) system for automatic classification of histopathological images of lung tissues …
[HTML][HTML] PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology
Imaging with positron emission tomography (PET)/computed tomography (CT) is crucial in
the management of cancer because of its value in tumor staging, response assessment …
the management of cancer because of its value in tumor staging, response assessment …
[HTML][HTML] Challenges and promises of PET radiomics
GJR Cook, G Azad, K Owczarczyk, M Siddique… - International Journal of …, 2018 - Elsevier
Purpose Radiomics describes the extraction of multiple, otherwise invisible, features from
medical images that, with bioinformatic approaches, can be used to provide additional …
medical images that, with bioinformatic approaches, can be used to provide additional …
Multi-level multi-modality (PET and CT) fusion radiomics: prognostic modeling for non-small cell lung carcinoma
We developed multi-modality radiomic models by integrating information extracted from 18 F-
FDG PET and CT images using feature-and image-level fusions, toward improved prognosis …
FDG PET and CT images using feature-and image-level fusions, toward improved prognosis …
Imaging heterogeneity in lung cancer: techniques, applications, and challenges
U Bashir, MM Siddique, E Mclean… - American Journal of …, 2016 - Am Roentgen Ray Soc
OBJECTIVE. Texture analysis involves the mathematic processing of medical images to
derive sets of numeric quantities that measure heterogeneity. Studies on lung cancer have …
derive sets of numeric quantities that measure heterogeneity. Studies on lung cancer have …
Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on 18F FDG-PET/CT
Objective To develop and evaluate a radiomics approach for classifying histological
subtypes and epidermal growth factor receptor (EGFR) mutation status in lung cancer on …
subtypes and epidermal growth factor receptor (EGFR) mutation status in lung cancer on …
[HTML][HTML] Predicting EGFR mutation subtypes in lung adenocarcinoma using 18F-FDG PET/CT radiomic features
Background Identification of epidermal growth factor receptor (EGFR) mutation types is
crucial before tyrosine kinase inhibitors (TKIs) treatment. Radiomics is a new strategy to …
crucial before tyrosine kinase inhibitors (TKIs) treatment. Radiomics is a new strategy to …
Correlations between metabolic texture features, genetic heterogeneity, and mutation burden in patients with lung cancer
Purpose This study investigated the correlations between parameters of 18 F-
fluorodeoxyglucose (FDG) uptake on positron emission tomography (PET) scan and indices …
fluorodeoxyglucose (FDG) uptake on positron emission tomography (PET) scan and indices …
FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy
Abstract Introduction With 18 F-FDG PET/CT, tumor uptake intensity and heterogeneity have
been associated with outcome in several cancers. This study aimed at investigating whether …
been associated with outcome in several cancers. This study aimed at investigating whether …
Radiomics for response and outcome assessment for non-small cell lung cancer
L Shi, Y He, Z Yuan, S Benedict… - … in cancer research …, 2018 - journals.sagepub.com
Routine follow-up visits and radiographic imaging are required for outcome evaluation and
tumor recurrence monitoring. Yet more personalized surveillance is required in order to …
tumor recurrence monitoring. Yet more personalized surveillance is required in order to …