Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images
M Sarmah, A Neelima, HR Singh - Visual computing for industry …, 2023 - Springer
Abstract Three-dimensional (3D) reconstruction of human organs has gained attention in
recent years due to advances in the Internet and graphics processing units. In the coming …
recent years due to advances in the Internet and graphics processing units. In the coming …
A problem with clinical T factor in the 8th TNM edition: Prognosis and EGFR mutation status of small sized lung cancers with difficulty to measure the diameter of solid …
T Matsunaga, K Suzuki, A Hattori, M Fukui, T Hayashi… - Lung Cancer, 2023 - Elsevier
Objective Clinical T factors in the 8th TNM classification of lung cancer have a practical
problem. In some cases, it is difficult to measure the size of the solid components in part …
problem. In some cases, it is difficult to measure the size of the solid components in part …
Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks
XL Zhu, HB Shen, H Sun, LX Duan, YY Xu - International Journal of …, 2022 - Springer
Purpose Computed tomography (CT) images can display internal organs of patients and are
particularly suitable for preoperative surgical diagnoses. The increasing demands for …
particularly suitable for preoperative surgical diagnoses. The increasing demands for …
Predictive accuracy of lepidic growth subtypes in early-stage adenocarcinoma of the lung by quantitative CT histogram and FDG-PET
D Eriguchi, Y Shimada, K Imai, H Furumoto, T Okano… - Lung cancer, 2018 - Elsevier
Objectives The aim of this study was to analyze the accuracy of computed tomography (CT)
and F-18 fluorodeoxyglucose-positron emission tomography/CT (FDG-PET/CT) to …
and F-18 fluorodeoxyglucose-positron emission tomography/CT (FDG-PET/CT) to …
Artificial intelligence-based radiomics for the prediction of nodal metastasis in early-stage lung cancer
Y Shimada, Y Kudo, S Maehara, K Fukuta… - Scientific Reports, 2023 - nature.com
We aimed to investigate the value of computed tomography (CT)-based radiomics with
artificial intelligence (AI) in predicting pathological lymph node metastasis (pN) in patients …
artificial intelligence (AI) in predicting pathological lymph node metastasis (pN) in patients …
Lung adenocarcinoma manifesting as ground-glass opacity nodules 3 cm or smaller: evaluation with combined high-resolution CT and PET/CT modality
OBJECTIVE. The purpose of this study is to evaluate high-resolution CT (HRCT) combined
with PET/CT for preoperative differentiation of invasive adenocarcinoma (IAC) from …
with PET/CT for preoperative differentiation of invasive adenocarcinoma (IAC) from …
Radiomics with artificial intelligence for the prediction of early recurrence in patients with clinical stage IA lung cancer
Y Shimada, Y Kudo, S Maehara, R Amemiya… - Annals of Surgical …, 2022 - Springer
Background We seek to explore the ability of computed tomography (CT)-based radiomics
coupled with artificial intelligence (AI) to predict early recurrence (< 2 years after surgery) in …
coupled with artificial intelligence (AI) to predict early recurrence (< 2 years after surgery) in …
[HTML][HTML] Imaging patterns of early stage lung cancer for the thoracic surgeon
In the modern era, thoracic surgeons are experiencing an increase interest in imaging
patterns of early stage lung cancer due to the introduction of the ground glass opacity in …
patterns of early stage lung cancer due to the introduction of the ground glass opacity in …
Impact of different image reconstructions on PET quantification in non-small cell lung cancer: a comparison of adenocarcinoma and squamous cell carcinoma
M Messerli, F Kotasidis, IA Burger… - The British Journal of …, 2019 - academic.oup.com
Objective: Positron emission tomography (PET) using 18F-fludeoxyglucose (18F-FDG) is an
established imaging modality for tumor staging in patients with non-small cell lung cancer …
established imaging modality for tumor staging in patients with non-small cell lung cancer …
The impact of pathological lymph node metastasis with lymphatic invasion on the survival of patients with clinically node-negative non-small cell lung cancer: a …
T Sato, Y Shimada, T Mimae, Y Tsutani, Y Miyata, H Ito… - Lung Cancer, 2021 - Elsevier
Abstract Objectives Lymphatic vessel invasion (Ly) plays a crucial role in pathological lymph
node metastasis (pN), and we consider pN+ Ly+ disease to indicate a high affinity for the …
node metastasis (pN), and we consider pN+ Ly+ disease to indicate a high affinity for the …