Category: MedTech

MedTech

Attention-guided multiple instance learning for COPD identification: To combine the intensity and morphology

Biocybernetics and Biomedical Engineering, Volume 43, Issue 3, 2023 Jul-Sep, Pages 568-585 | Wu, Yanan; Qi, Shouliang; Feng, Jie;…
AbstractChronic obstructive pulmonary disease (COPD) is a complex and multi-component respiratory disease. Computed tomography (CT) images can characterize lesions in COPD patients, but the image intensity and morphology of lung components have no…

Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture

Biocybernetics and Biomedical Engineering, Volume 43, Issue 3, 2023 Jul-Sep, Pages 528-550 | Nahiduzzaman, Md.; Faruq Goni, Md Omaer; Robiul Islam, Md.;…
AbstractAround the world, several lung diseases such as pneumonia, cardiomegaly, and tuberculosis (TB) contribute to severe illness, hospitalization or even death, particularly for elderly and medically vulnerable patients. In the last few decades…

Multi-stage fully convolutional network for precise prostate segmentation in ultrasound images

Biocybernetics and Biomedical Engineering, Volume 43, Issue 3, 2023 Jul-Sep, Pages 586-602 | Feng, Yujie; Atabansi, Chukwuemeka Clinton; Nie, Jing;…
AbstractProstate cancer is one of the most commonly diagnosed non-cutaneous malignant tumors and the sixth major cause of cancer-related death generally found in men globally. Automatic segmentation of prostate regions has a wide range of applicat…

Non-invasive waveform analysis for emergency triage via simulated hemorrhage: An experimental study using novel dynamic lower body negative pressure model

Biocybernetics and Biomedical Engineering, Volume 43, Issue 3, 2023 Jul-Sep, Pages 551-567 | Nesaragi, Naimahmed; Høiseth, Lars Øivind; Qadir, Hemin Ali;…
AbstractThe extent to which advanced waveform analysis of non-invasive physiological signals can diagnose levels of hypovolemia remains insufficiently explored. The present study explores the discriminative ability of a deep learning (DL) framewor…

Efficient simultaneous segmentation and classification of brain tumors from MRI scans using deep learning

Biocybernetics and Biomedical Engineering, Volume 43, Issue 3, 2023 Jul-Sep, Pages 616-633 | Kumar Sahoo, Akshya; Parida, Priyadarsan; Muralibabu, K.;…
AbstractBrain tumors can be difficult to diagnose, as they may have similar radiographic characteristics, and a thorough examination may take a considerable amount of time. To address these challenges, we propose an intelligent system for the auto…