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XNet: a convolutional neural network (CNN) implementation for medical x-ray image segmentation suitable for small datasets
X-Ray image enhancement, along with many other medical image processing applications,
requires the segmentation of images into bone, soft tissue, and open beam regions. We …
requires the segmentation of images into bone, soft tissue, and open beam regions. We …
[PDF][PDF] IOT enabled Intelligent featured imaging Bone Fractured Detection System
In the present era, there are lots of advancements and initiatives that have been undertaken
through image processing techniques and IoT (Internet of Things). Image processing has …
through image processing techniques and IoT (Internet of Things). Image processing has …
A wavelet transform and neural network based segmentation & classification system for bone fracture detection
This paper deals with fracture detection of a human bone from X-ray images applying image
processing techniques. It describes the wavelet transform based segmentation and neural …
processing techniques. It describes the wavelet transform based segmentation and neural …
[PDF][PDF] Vessels Segmentation in Angiograms Using Convolutional Neural Network: A Deep Learning Based Approach.
Coronary artery disease (CAD) has become a significant cause of heart attack, especially
among those 40 years old or younger. There is a need to develop new technologies and …
among those 40 years old or younger. There is a need to develop new technologies and …
Machine learning approaches for the classification of knee osteoarthritis
Machine learning systems have gained tremendous attention in solving complex tasks. For
instance, image classification using machine learning has multiple applications in the …
instance, image classification using machine learning has multiple applications in the …
Long-term effects of mechanical vibration stimulus on the bone formation of Wistar rats: An assessment method based on X-rays images
ALBD Cardoso, ÉHFF Frederico, CAS Guimarães… - Academic …, 2021 - Elsevier
Background Bone is a complex living tissue that adapts itself to the demands of mechanical
stimuli such as physical activity and exercise. Whole-body vibration (WBV) is a type of …
stimuli such as physical activity and exercise. Whole-body vibration (WBV) is a type of …
AI-Powered Radiology: Enhancing Efficiency and Accuracy in Knee Osteoarthritis Diagnosis through Automated Bone Segmentation
A significant number of people experience a decline in their quality of life annually due to
Knee Osteoarthritis, a debilitating joint condition. Clinicians commonly diagnose …
Knee Osteoarthritis, a debilitating joint condition. Clinicians commonly diagnose …
Bone fracture detection from X-ray image of human fingers using image processing
Orthopaedics deals with surgery and treatment of the human musculoskeletal system. It also
involves degenerative conditions, trauma, sports injury, tumors, and congenital issues …
involves degenerative conditions, trauma, sports injury, tumors, and congenital issues …
A wavelet-based segmentation technique for medical images
In order to extract any abnormality in the given image, the first step is to segment it so that
detailed information can be identified clearly. This paper describes the wavelet-based …
detailed information can be identified clearly. This paper describes the wavelet-based …
Highly-efficient technique for automatic segmentation of X-ray bone images based on fuzzy logic and an edge detection technique
NM Hussain Hassan - Multidimensional Systems and Signal Processing, 2020 - Springer
Abstract Development of medical image segmentation techniques has become one of the
most important challenges in many applications that employ computers-based medical …
most important challenges in many applications that employ computers-based medical …