Localization and edge-based segmentation of lumbar spine vertebrae to identify the deformities using deep learning models

M Mushtaq, MU Akram, NS Alghamdi, J Fatima… - Sensors, 2022 - mdpi.com
The lumbar spine plays a very important role in our load transfer and mobility. Vertebrae
localization and segmentation are useful in detecting spinal deformities and fractures …

BUU-LSPINE: A thai open lumbar spine dataset for spondylolisthesis detection

P Klinwichit, W Yookwan, S Limchareon… - Applied Sciences, 2023 - mdpi.com
(1) Background: Spondylolisthesis, a common disease among older individuals, involves the
displacement of vertebrae. The condition may gradually manifest with age, allowing for …

Lumbar disc herniation automatic detection in magnetic resonance imaging based on deep learning

JY Tsai, IYJ Hung, YL Guo, YK Jan, CY Lin… - … in Bioengineering and …, 2021 - frontiersin.org
Background: Lumbar disc herniation (LDH) is among the most common causes of lower
back pain and sciatica. The causes of LDH have not been fully elucidated but most likely …

Spinal disease diagnosis assistant based on MRI images using deep transfer learning methods

J Xuan, B Ke, W Ma, Y Liang, W Hu - Frontiers in Public Health, 2023 - frontiersin.org
Introduction In light of the potential problems of missed diagnosis and misdiagnosis in the
diagnosis of spinal diseases caused by experience differences and fatigue, this paper …

Deep learning system assisted detection and localization of lumbar spondylolisthesis

J Zhang, H Lin, H Wang, M Xue, Y Fang… - … in Bioengineering and …, 2023 - frontiersin.org
Objective: Explore a new deep learning (DL) object detection algorithm for clinical auxiliary
diagnosis of lumbar spondylolisthesis and compare it with doctors' evaluation to verify the …

Bones detection in the pelvic area on the basis of YOLO neural network

Z Krawczyk, J Starzyński - 19th International Conference …, 2018 - ieeexplore.ieee.org
The article focuses on application of You Only Look Once (YOLO) neural network in the
process of individual bones recognition, in the set of CT slices of human pelvic area. The …

Primary bone tumor detection and classification in full-field bone radiographs via YOLO deep learning model

J Li, S Li, X Li, S Miao, C Dong, C Gao, X Liu, D Hao… - European …, 2023 - Springer
Objectives Automatic bone lesions detection and classifications present a critical challenge
and are essential to support radiologists in making an accurate diagnosis of bone lesions. In …

Social Distance Monitoring Framework Using YOLO V5 Deep Architecture

D Akshaya, Charanappradhosh… - … of International Conference …, 2023 - Springer
Due to the current outburst and speedy spread of the COVID-19 pandemic, there is a need
to comply with social distancing rules by the general public. The public needs to, at …

Computer-aided detection and classification of brain tumor using YOLOv3 and deep learning

MM Chanu, NH Singh, C Muppala, RT Prabu… - Soft Computing, 2023 - Springer
The human brain has a complicated structure, making it difficult to diagnose any brain
ailments, particularly when they affect important parts of the brain. A brain tumor with a high …

[PDF][PDF] A study of YOLO algorithm for target detection

H Wen, F Dai, Y Yuan - J. Adv. Inn Artif. Life Robot, 2021 - alife-robotics.co.jp
With the development of deep learning, target detection has become one of the research
directions of many scholars. As one of the more mature algorithms, the YOLO series of …