Bone age assessment empowered with deep learning: a survey, open research challenges and future directions

MW Nadeem, HG Goh, A Ali, M Hussain, MA Khan… - Diagnostics, 2020 - mdpi.com
Deep learning is a quite useful and proliferating technique of machine learning. Various
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 …

[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 …

[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 …

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 …

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 …

Multi-level seg-unet model with global and patch-based X-ray images for knee bone tumor detection

NT Do, ST Jung, HJ Yang, SH Kim - Diagnostics, 2021 - mdpi.com
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 …

Skeletal fracture detection with deep learning: A comprehensive review

Z Su, A Adam, MF Nasrudin, M Ayob, G Punganan - Diagnostics, 2023 - mdpi.com
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 …

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 …

[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 …