Bone age assessment empowered with deep learning: a survey, open research challenges and future directions
Deep learning is a quite useful and proliferating technique of machine learning. Various
applications, such as medical images analysis, medical images processing, text …
applications, such as medical images analysis, medical images processing, text …
Hep-pred: hepatitis c staging prediction using fine gaussian svm
TM Ghazal - Computers, Materials & Continua, 2021 - research.skylineuniversity.ac.ae
Hepatitis C is a contagious blood-borne infection, and it is mostly asymptomatic during the
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …
[PDF][PDF] Supervised machine learning-based prediction of COVID-19
A Atta-ur-Rahman, K Sultan, I Naseer… - … , Materials & Continua, 2021 - researchgate.net
COVID-19 turned out to be an infectious and life-threatening viral disease, and its swift and
overwhelming spread has become one of the greatest challenges for the world. As yet, no …
overwhelming spread has become one of the greatest challenges for the world. As yet, no …
[PDF][PDF] Machine learning enabled early detection of breast cancer by structural analysis of mammograms
M Mehmood, E Ayub, F Ahmad, M Alruwaili… - Comput. Mater …, 2021 - cdn.techscience.cn
Clinical image processing plays a significant role in healthcare systems and is currently a
widely used methodology. In carcinogenic diseases, time is crucial; thus, an image's …
widely used methodology. In carcinogenic diseases, time is crucial; thus, an image's …
The application of machine learning in early diagnosis of osteoarthritis: a narrative review
A Xuan, H Chen, T Chen, J Li, S Lu… - Therapeutic …, 2023 - journals.sagepub.com
Osteoarthritis (OA) is the commonest musculoskeletal disease worldwide, with an increasing
prevalence due to aging. It causes joint pain and disability, decreased quality of life, and a …
prevalence due to aging. It causes joint pain and disability, decreased quality of life, and a …
Computer vision-aided bioprinting for bone research
C Liu, L Wang, W Lu, J Liu, C Yang, C Fan, Q Li… - Bone Research, 2022 - nature.com
Bioprinting is an emerging additive manufacturing technology that has enormous potential in
bone implantation and repair. The insufficient accuracy of the shape of bioprinted parts is a …
bone implantation and repair. The insufficient accuracy of the shape of bioprinted parts is a …
Multi-level seg-unet model with global and patch-based X-ray images for knee bone tumor detection
Tumor classification and segmentation problems have attracted interest in recent years. In
contrast to the abundance of studies examining brain, lung, and liver cancers, there has …
contrast to the abundance of studies examining brain, lung, and liver cancers, there has …
Skeletal fracture detection with deep learning: A comprehensive review
Deep learning models have shown great promise in diagnosing skeletal fractures from X-ray
images. However, challenges remain that hinder progress in this field. Firstly, a lack of clear …
images. However, challenges remain that hinder progress in this field. Firstly, a lack of clear …
Enhancing Parkinson's disease prediction using machine learning and feature selection methods
F Saeed, M Al-Sarem… - Computers …, 2022 - open-access.bcu.ac.uk
Several millions of people suffer from Parkinson's disease globally. Parkinson's affects about
1% of people over 60 and its symptoms increase with age. The voice may be affected and …
1% of people over 60 and its symptoms increase with age. The voice may be affected and …
[HTML][HTML] Nomogram model based on radiomics signatures and age to assist in the diagnosis of knee osteoarthritis
W Li, J Feng, D Zhu, Z Xiao, J Liu, Y Fang, L Yao… - Experimental …, 2023 - Elsevier
Background Knee osteoarthritis (KOA) is a common disease in the elderly. An effective
method for accurate diagnosis could affect the management and prognosis of patients …
method for accurate diagnosis could affect the management and prognosis of patients …