Journal of Imaging Informatics in Medicine

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Identification of Autism Spectrum Disorder Using Topological Data Analysis
Journal of Imaging Informatics in Medicine -
Xudong Zhang, Yaru Gao, Yunge Zhang, Fengling Li, Huanjie Li, Fengchun Lei
OralEpitheliumDB: A Dataset for Oral Epithelial Dysplasia Image Segmentation and Classification
Journal of Imaging Informatics in Medicine -
Adriano Barbosa Silva, Alessandro Santana Martins, Tháına A. A. Tosta, Adriano Mota Loyola, Sérgio Vitorino Cardoso, Leandro Alves Neves, Paulo Rogério de Faria, Marcelo Zanchetta do Nascimento
DilatedToothSegNet: Tooth Segmentation Network on 3D Dental Meshes Through Increasing Receptive Vision
Journal of Imaging Informatics in Medicine -
Lucas Krenmayr, Reinhold von Schwerin, Daniel Schaudt, Pascal Riedel, Alexander Hafner
AbstractThe utilization of advanced intraoral scanners to acquire 3D dental models has gained significant popularity in the fields of dentistry and orthodontics. Accurate segmentation and labeling of teeth on digitized 3D dental surface models are crucial for computer-aided treatment planning. At the same time, manual labeling of these models is a time-consuming task. Recent advances in geometric ... hiện toàn bộ
PET KinetiX—A Software Solution for PET Parametric Imaging at the Whole Field of View Level
Journal of Imaging Informatics in Medicine - - 2024
Florent L. Besson, Sylvain Faure
Kinetic modeling represents the ultimate foundations of PET quantitative imaging, a unique opportunity to better characterize the diseases or prevent the reduction of drugs development. Primarily designed for research, parametric imaging based on PET kinetic modeling may become a reality in future clinical practice, enhanced by the technical abilities of the latest generation of commercially avail... hiện toàn bộ
Visualizing Clinical Data Retrieval and Curation in Multimodal Healthcare AI Research: A Technical Note on RIL-workflow
Journal of Imaging Informatics in Medicine - - Trang 1-9 - 2024
Ali Ganjizadeh, Stephanie J. Zawada, Steve G. Langer, Bradley J. Erickson
Curating and integrating data from sources are bottlenecks to procuring robust training datasets for artificial intelligence (AI) models in healthcare. While numerous applications can process discrete types of clinical data, it is still time-consuming to integrate heterogenous data types. Therefore, there exists a need for more efficient retrieval and storage of curated patient data from dissimila... hiện toàn bộ
Inconsistency between Human Observation and Deep Learning Models: Assessing Validity of Postmortem Computed Tomography Diagnosis of Drowning
Journal of Imaging Informatics in Medicine - - Trang 1-10 - 2024
Yuwen Zeng, Xiaoyong Zhang, Jiaoyang Wang, Akihito Usui, Kei Ichiji, Ivo Bukovsky, Shuoyan Chou, Masato Funayama, Noriyasu Homma
Drowning diagnosis is a complicated process in the autopsy, even with the assistance of autopsy imaging and the on-site information from where the body was found. Previous studies have developed well-performed deep learning (DL) models for drowning diagnosis. However, the validity of the DL models was not assessed, raising doubts about whether the learned features accurately represented the medica... hiện toàn bộ
Automated Detection of COVID-19 from Multimodal Imaging Data Using Optimized Convolutional Neural Network Model
Journal of Imaging Informatics in Medicine - - 2024
S. Veluchamy, S. Sudharson, R. Annamalai, Zaid Bassfar, Amer Aljaedi, Sajjad Shaukat Jamal
The incidence of COVID-19, a virus that is responsible for infections in the upper respiratory tract and lungs, witnessed a daily rise in fatalities throughout the pandemic. The timely identification of COVID-19 can contribute to the formulation of strategies to control the disease and the selection of an appropriate treatment pathway. Given the necessity for broader COVID-19 diagnosis, researcher... hiện toàn bộ
Deep Learning-Assisted Diffusion Tensor Imaging for Evaluation of the Physis and Metaphysis
Journal of Imaging Informatics in Medicine - - Trang 1-10 - 2024
Phuong T. Duong, Laura Santos, Hao-Yun Hsu, Sachin Jambawalikar, Simukayi Mutasa, Michael K. Nguyen, Andressa Guariento, Diego Jaramillo
Diffusion tensor imaging of physis and metaphysis can be used as a biomarker to predict height change in the pediatric population. Current application of this technique requires manual segmentation of the physis which is time-consuming and introduces interobserver variability. UNET Transformers (UNETR) can be used for automatic segmentation to optimize workflow. Three hundred and eighty-five DTI s... hiện toàn bộ
An Automated Multi-scale Feature Fusion Network for Spine Fracture Segmentation Using Computed Tomography Images
Journal of Imaging Informatics in Medicine -
Muhammad Usman Saeed, Bin Wang, Jinfang Sheng, Hussain Mobarak Albarakati
Auto-BCS: A Hybrid System for Real-Time Breast Cancer Screening from Pathological Images
Journal of Imaging Informatics in Medicine - - 2024
Ekta, Vandana Bhatia
Breast cancer is recognized as a prominent cause of cancer-related mortality among women globally, emphasizing the critical need for early diagnosis resulting improvement in survival rates. Current breast cancer diagnostic procedures depend on manual assessments of pathological images by medical professionals. However, in remote or underserved regions, the scarcity of expert healthcare resources o... hiện toàn bộ
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