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Pseudo-CT Generation from MRI Images for Bone Lesion Detection Using Deep Learning Approach
One of the most reliable MR-based attenuation correction techniques utilised in clinical practice for PET quantification is Magnetic Resonance (MR)...
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Skin Lesion Segmentation Using Wavelet Transform on MATLAB
Melanoma, a form of skin cancer, is a growing concern in the medical world. This cancer, originating in the epidermal layer in pigment producing...
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Detecting Bone Tumor on Applying Edge Computational Deep Learning Approach
Bone cancer (BC) affects the majority of the elderly in today’s world. It directly affects the neurotransmitters and leads to dementia. MRI images...
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Detecting bone lesions in the emergency room with medical infrared thermography
IntroductionLow- to high-energy impact trauma may cause from small fissures up to extended bone losses, which can be classified as closed or opened...
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Ensemble Deep Learning Architectures in Bone Cancer Detection Based on Medical Diagnosis in Explainable Artificial Intelligence
AI (Artificial Intelligence), IoT (Internet of Things) and CC (Cloud Computing) have all lately gained popularity in the healthcare industry,...
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Analyzing fibrous tissue pattern in fibrous dysplasia bone images using deep R-CNN networks for segmentation
Predictive health monitoring systems help to detect human health threats in the early stage. Evolving deep learning techniques in medical image...
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A Study of Breast Cancer Identification with Deep Learning Techniques
Breast cancer is currently the utmost often analysed malice in females, and number of cases is steadily rising. If breast cancer is detected and...
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Thermography applied in the diagnostic assessment of bone fractures
Infrared thermography has been used in many medical applications. Objective: The objective of this study was to investigate, through systematic...
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Comparative analysis of 5 regions over 13 regions bone age assessment via TW3 method with deep learning
PurposeThe deep learning-aided automatic bone age assessment systems have obtained the best results but still depending on the advanced methods to...
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Fractures Classification and Detection Using DIP and ML
In modern years, the identification and categorization of fractured bone has been an extensively debated field and various scholars have anticipated...
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Classification of Skin Cancer Using Deep Learning
Skin cancer is one of the most rapidly spreading illnesses in the world and because of the limited resources available, early detection of skin...
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Recent advances in nanomaterial-based biosensor for periodontitis detection
Periodontitis, a chronic inflammatory condition caused by bacteria, often causes gradual destruction of the components that support teeth, such as...
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Hybrid model for early identification post-Covid-19 sequelae
Artificial Intelligence techniques based on Machine Learning algorithms, Neural Networks and Naïve Bayes can optimise the diagnostic process of the...
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Phase field modelling and simulation of damage occurring in human vertebra after screws fixation procedure
The present endeavour numerically exploits the use of a phase-field model to simulate and investigate fracture patterns, deformation mechanisms,...
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Automated Diagnosis of Multiple Sclerosis Lesions in Brain MRI Using 3D-FLAIR Acquisition
The extent and the location of the multiple sclerosis plaques in the MR image of the brain are important criteria for the prognosis and diagnosis....
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Longevity Recommendation for Root Canal Treatment
Endodontic treatment has a high success rate; however, it still fails in many patients. It is usually attributed to different clinical and...
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Machine Learning for Medical Image Analysis: A Survey
Machine learning techniques have made significant progress in recent years in the field of healthcare by assisting clinicians in treatment...
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Neurosurgical Planning with Multiparametric MRI Protocol
Visualization of the nervous system anatomy is essential to minimize surgical trauma by assisting with localization of affected areas and...
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Applications of Artificial Intelligence in Medical Images Analysis
There are several imaging modalities used for obtaining the images of the internal parts of the human body. Some modalities such as angiography...
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Fast Stroke Lesions Segmentation Based on Parzen Estimation and Non-uniform Bit Allocation in Skull CT Images
Stroke is the second leading cause of death worldwide. Those who survive usually experience vision loss, speech, paralysis, or confusion. Agile...