Category: MedTech

MedTech

Segmentation of pectoral muscle from digital mammograms with depth-first search algorithm towards breast density classification

Biocybernetics and Biomedical Engineering, Volume 41, Issue 3, 2021 Jul-Sep, Pages 1224-1241 | Pawar, Shivaji D.; Sharma, Kamal Kr.; Sapate, Suhas G.;…
AbstractDigital mammography acts as a unique screening technology to protect the lives of females against breast cancer for the past few decades. Mammographic breast density is a well-known biomarker and plays a substantial role in breast cancer p…

Blood glucose prediction with deep neural networks using weighted decision level fusion

Biocybernetics and Biomedical Engineering, Volume 41, Issue 3, 2021 Jul-Sep, Pages 1208-1223 | Dudukcu, Hatice Vildan; Taskiran, Murat; Yildirim, Tulay
Graphical abstract Highlights•BG prediction for 30,45 and 60 min PH with three DNNs using the OhioT1DM dataset. •7 BG prediction models were obtained with 3 DNNs and their decision level fusions. •Hyper-parameters are selected for each neural netw…

Machine learning prediction of future peripheral neuropathy in type 2 diabetics with percussion entropy and body mass indices

Biocybernetics and Biomedical Engineering, Volume 41, Issue 3, 2021 Jul-Sep, Pages 1140-1149 | Xiao, Ming-Xia; Lu, Chang-Hua; Ta, Na;…
AbstractThis study was designed to evaluate the clinical applications of body mass index (BMI) and a percussion-entropy-based index (PEI NEW) for predicting the development of diabetic peripheral neuropathy (DPN) in a group of type 2 diabetes mell…

Devignetting fundus images via Bayesian estimation of illumination component and gamma correction

Biocybernetics and Biomedical Engineering, Volume 41, Issue 3, 2021 Jul-Sep, Pages 1071-1092 | James, Shine P.; Abraham Chandy, D.
Highlights•Gamma Correction of Illumination Component (GCIC) – A dedicated devignetting scheme for fundus images. •Has good capability to suppress unevenness of background illumination. •Generates output images which are natural in appearance. •Do…

Commentary: Automated detection of preterm condition using uterine electromyography based topological features

Biocybernetics and Biomedical Engineering, Volume 41, Issue 3, 2021 Jul-Sep, Pages 944-945 | Vandewiele, Gilles; Ongenae, Femke; Dehaene, Isabelle
AbstractA recently published study [1] proposed a machine learning classifier to detect preterm birth at an early stage of the pregnancy by making use of an envelope created from Fourier coefficients. The evaluation of this system within this stud…
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