[HTML][HTML] High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images
In this study, multiple lung diseases are diagnosed with the help of the Neural Network
algorithm. Specifically, Emphysema, Infiltration, Mass, Pleural Thickening, Pneumonia …
algorithm. Specifically, Emphysema, Infiltration, Mass, Pleural Thickening, Pneumonia …
[HTML][HTML] Polycystic Ovary Syndrome: Pathophysiology and Controversies in Diagnosis
D Fahs, D Salloum, M Nasrallah, G Ghazeeri - Diagnostics, 2023 - mdpi.com
Polycystic ovary syndrome (PCOS) is a complex and heterogeneous disorder that commonly
affects women in the reproductive age group. The disorder has features that propose a …
affects women in the reproductive age group. The disorder has features that propose a …
Applications of Artificial Intelligent and Machine Learning Techniques in Image Processing
S Boopathi, UK Kanike - … of Research on Thrust Technologies' Effect …, 2023 - igi-global.com
This chapter explores the role of AI and machine learning (ML) in image processing,
focusing on their applications. It covers AI techniques like supervised learning, unsupervised …
focusing on their applications. It covers AI techniques like supervised learning, unsupervised …
[HTML][HTML] Diagnostic performance of artificial intelligence-assisted PET imaging for Parkinson's disease: a systematic review and meta-analysis
J Wang, L Xue, J Jiang, F Liu, P Wu, J Lu… - NPJ Digital …, 2024 - nature.com
Artificial intelligence (AI)-assisted PET imaging is emerging as a promising tool for the
diagnosis of Parkinson's disease (PD). We aim to systematically review the diagnostic …
diagnosis of Parkinson's disease (PD). We aim to systematically review the diagnostic …
Two‐Stage Hybrid Approach of Deep Learning Networks for Interstitial Lung Disease Classification
High‐resolution computed tomography (HRCT) images in interstitial lung disease (ILD)
screening can help improve healthcare quality. However, most of the earlier ILD …
screening can help improve healthcare quality. However, most of the earlier ILD …
Techniques for the Detection of Skin Lesions in PH2 Dermoscopy Images Using Local Binary Pattern (LBP)
EM Senan, ME Jadhav - Recent Trends in Image Processing and Pattern …, 2021 - Springer
Skin lesion is the most deadly skin disease in humans, it arises as a result of disorders in the
pigment cells, which is produced by a pigment known as melanin. This disease can be …
pigment cells, which is produced by a pigment known as melanin. This disease can be …
Machine learning-enabled repurposing and design of antifouling polymer brushes
Rational development of antifouling materials is of great importance for fundamental
research and real-world applications. However, current experimental designs and …
research and real-world applications. However, current experimental designs and …
Design new wavelet filter for detection and grading of non-proliferative diabetic retinopathy lesions
WHO projects that diabetes will be the 7 th major cause leading death in 2030. Diabetic
Retinopathy caused by leakage of blood or fluid from the retinal blood vessels and it will …
Retinopathy caused by leakage of blood or fluid from the retinal blood vessels and it will …
Two-stream collaborative network for multi-label chest X-ray Image classification with lung segmentation
Automated chest X-ray (CXR) image analysis is often subject to serious disruption and
misguided by its imaging artifacts and noise regions. To minimize such negative effects …
misguided by its imaging artifacts and noise regions. To minimize such negative effects …
Artificial intelligence modeling-based optimization of an industrial-scale steam turbine for moving toward net-zero in the energy sector
Augmentation of energy efficiency in the power generation systems can aid in decarbonizing
the energy sector, which is also recognized by the International Energy Agency (IEA) as a …
the energy sector, which is also recognized by the International Energy Agency (IEA) as a …