BOA: A CT-based body and organ analysis for radiologists at the point of care

J Haubold, G Baldini, V Parmar… - Investigative …, 2023 - journals.lww.com
Purpose The study aimed to develop the open-source body and organ analysis (BOA), a
comprehensive computed tomography (CT) image segmentation algorithm with a focus on …

Automatic Lung Cancer Segmentation in [18F]FDG PET/CT Using a Two-Stage Deep Learning Approach

J Park, SK Kang, D Hwang, H Choi, S Ha… - Nuclear Medicine and …, 2023 - Springer
Purpose Since accurate lung cancer segmentation is required to determine the functional
volume of a tumor in [18F] FDG PET/CT, we propose a two-stage U-Net architecture to …

Predictive medicine for salivary gland tumours identification through deep learning

E Prezioso, S Izzo, F Giampaolo… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Nowadays, predictive medicine begins to become a reality thanks to Artificial Intelligence
(AI) which allows, through the processing of huge amounts of data, to identify correlations …

[HTML][HTML] A deep learning model for the differential diagnosis of benign and malignant salivary gland tumors based on ultrasound imaging and clinical data

G Zhang, L Zhu, R Huang, Y Xu, X Lu… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background The preoperative differentiation between benign parotid gland tumors (BPGTs)
and malignant parotid gland tumors (MPGTs) is of great significance for therapeutic decision …

CT-free quantitative SPECT for automatic evaluation of% thyroid uptake based on deep-learning

K Kwon, D Hwang, D Oh, JH Kim, J Yoo, JS Lee… - EJNMMI physics, 2023 - Springer
Purpose Quantitative thyroid single-photon emission computed tomography/computed
tomography (SPECT/CT) requires computed tomography (CT)-based attenuation correction …

Multi-organ segmentation of CT via convolutional neural network: impact of training setting and scanner manufacturer

AJ Weisman, DT Huff, RM Govindan… - Biomedical Physics & …, 2023 - iopscience.iop.org
Objective. Automated organ segmentation on CT images can enable the clinical use of
advanced quantitative software devices, but model performance sensitivities must be …

Maximum standardized uptake value for parotid and submandibular glands in patients with Sjögren's syndrome and submandibular sialolithiasis using salivary gland …

A Shirai, I Ogura - Odontology, 2024 - Springer
Recently, SPECT/CT plays an important role in assessing patients with head and neck
lesions. The aim of this study was performed to investigate the maximum standardized …

KSNM 60 in general nuclear medicine: the old dream comes true

WW Lee, JS Ryu - Nuclear Medicine and Molecular Imaging, 2022 - Springer
Since the establishment of the Korean Society of Nuclear Medicine (KSNM) in 1961 by
Professor Munho Lee, the KSNM has been progressing in various medical fields. Many …

[HTML][HTML] Performance Evaluation of Ultrasound Images Using Non-Local Means Algorithm with Adaptive Isotropic Search Window for Improved Detection of Salivary …

JY Kim - Diagnostics, 2024 - mdpi.com
Speckle noise in ultrasound images (UIs) significantly reduces the accuracy of disease
diagnosis. The aim of this study was to quantitatively evaluate its feasibility in salivary gland …

Artificial intelligence-based CT-free quantitative thyroid SPECT for thyrotoxicosis: study protocol of a multicentre, prospective, non-inferiority study

D Oh, HG Ryoo, HW Chung, SG Cho, K Kwon… - BMJ open, 2024 - bmjopen.bmj.com
Introduction Technetium thyroid uptake (TcTU) measured by single-photon emission CT/CT
(SPECT/CT) is an important diagnostic tool for the differential diagnosis of Graves' disease …