Detection and diagnosis of automated breast ultrasound in patients with BI-RADS category 4 microcalcifications: a retrospective study Automated Breast Ultrasound (AB US) has shown good application value and prospects in breast disease screening and diagnosis. The aim of the study was to explore the ability of AB US to detect and diagnose mam...
https://bmcmedimaging.biomedce....ntral.com/articles/1

Tumour growth rate predicts overall survival in patients with recurrent WHO grade 4 glioma Accurate prognostication may aid in the selection of patients who will benefit from surgery at recurrent WHO grade 4 glioma. This study aimed to evaluate the role of serial tumour volumetric measurements for p...
https://bmcmedimaging.biomedce....ntral.com/articles/1

Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies The quick proliferation of pandemic diseases has been imposing many concerns on the international health infrastructure. To combat pandemic diseases in smart cities, Artificial Intelligence of Things (AIoT) te...
https://bmcmedimaging.biomedce....ntral.com/articles/1

A study on the application of radiomics based on cardiac MR non-enhanced cine sequence in the early diagnosis of hypertensive heart disease The prevalence of hypertensive heart disease (HHD) is high and there is currently no easy way to detect early HHD. Explore the application of radiomics using cardiac magnetic resonance (CMR) non-enhanced cine ...
https://bmcmedimaging.biomedce....ntral.com/articles/1

Real-time sports injury monitoring system based on the deep learning algorithm In response to the low real-time performance and accuracy of traditional sports injury monitoring, this article conducts research on a real-time injury monitoring system using the SVM model as an example. Vide...
https://bmcmedimaging.biomedce....ntral.com/articles/1