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British Journal of Medical and Health Research

📢 Latest Update: Call for Papers: Special Issue on Medical and Health Research – Submit to British Journal (BJMHR) by March 31, 2026

📢 Latest Update: Call for Papers: Special Issue on Medical and Health Research – Submit to British Journal (BJMHR) by March 31, 2026

Volume 8, Issue 3 - 2021 (March 2021 Issue 3)

Volume 8 Issue 3 Cover

Issue Details:

Volume 8 Issue 3
Published:Invalid Date

Editorial: March 2021 Issue 3

Welcome to the 2021 issue of British Journal of Medical and Health Research. This issue showcases the remarkable breadth and depth of contemporary research across multiple disciplines. From cutting-edge applications of machine learning in climate science to the revolutionary potential of quantum computing in drug discovery, our featured articles demonstrate the power of interdisciplinary collaboration in addressing global challenges.

We are particularly excited to present research that bridges traditional academic boundaries, reflecting our journal's commitment to fostering innovation through cross-disciplinary dialogue. The integration of artificial intelligence with environmental science, the application of blockchain technology to supply chain management, and the convergence of urban planning with smart city technologies exemplify the transformative potential of collaborative research.

As we continue to navigate an era of rapid technological advancement and global challenges, the research presented in this issue offers both insights and solutions that will shape our future. We thank our authors, reviewers, and editorial board members for their continued dedication to advancing knowledge and promoting scientific excellence.

Dr Hemangi J Patel
Editor-in-Chief
British Journal of Medical and Health Research

Articles in This Issue

Showing 1 of 1 articles
Research PaperID: BJMHR0803001

Fast Detection of the Angle Between the Hip Bones and Fracture Of Obturator Foramina In Anteroposterior Pelvic X-Ray Based On Mask R-CNN

Kaifeng Liu, Kouki Nagamune

ABSTRACT A pelvic fracture may lead to multiple complications such as hemorrhage with a high mortality rate. Rapid diagnosis and assessment of injury levels are critical for survival and reduction of morbidity. AP plain x-rays are widely used in the pelvis's rapid evaluation, identification, and primary fixation. In this paper, we retrained the Mask R-CNN model using x-ray images of the pelvis to detect maxillary fractures and measure the angle between the hip bones, which helps classify the trauma mechanism. The method yielded satisfactory experimental results. Keywords: Multiple sequence alignment, Pairwise sequence identity, Sequence selection treatment, Transmembrane protein, Transmembrane segment

Multiple sequence alignmentPairwise sequence identitySequence selection treatmentTransmembrane proteinTransmembrane segment
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Contributors:

 Kaifeng Liu
,
 Kouki Nagamune