Descriptive analysis of dental X-ray images using various practical methods: A review
A Kumar, HS Bhadauria, A Singh - PeerJ Computer Science, 2021 - peerj.com
In dentistry, practitioners interpret various dental X-ray imaging modalities to identify tooth-
related problems, abnormalities, or teeth structure changes. Another aspect of dental …
related problems, abnormalities, or teeth structure changes. Another aspect of dental …
Computer-assisted brain tumor type discrimination using magnetic resonance imaging features
Medical imaging plays an integral role in the identification, segmentation, and classification
of brain tumors. The invention of MRI has opened new horizons for brain-related research …
of brain tumors. The invention of MRI has opened new horizons for brain-related research …
Brain tumor segmentation in multi‐spectral MRI using convolutional neural networks (CNN)
A tumor could be found in any area of the brain and could be of any size, shape, and
contrast. There may exist multiple tumors of different types in a human brain at the same …
contrast. There may exist multiple tumors of different types in a human brain at the same …
Medical image segmentation methods, algorithms, and applications
Medical images have made a great impact on medicine, diagnosis, and treatment. The most
important part of image processing is image segmentation. Many image segmentation …
important part of image processing is image segmentation. Many image segmentation …
Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation
Automatic and precise segmentation and classification of tumor area in medical images is
still a challenging task in medical research. Most of the conventional neural network based …
still a challenging task in medical research. Most of the conventional neural network based …
Tooth implant prosthesis using ultra low power and low cost crystalline carbon bio-tooth sensor with hybridized data acquisition algorithm
S Vellappally, AA Al Kheraif, DD Divakar… - Computer …, 2019 - Elsevier
This paper proposes a tiny ultralow-power and low-cost tooth sensor with hybridized data
processing algorithm for monitoring implant tooth implant prosthesis performance. In general …
processing algorithm for monitoring implant tooth implant prosthesis performance. In general …
Improved deep convolutional neural network to classify osteoarthritis from anterior cruciate ligament tear using magnetic resonance imaging
Anterior cruciate ligament (ACL) tear is caused by partially or completely torn ACL ligament
in the knee, especially in sportsmen. There is a need to classify the ACL tear before it fully …
in the knee, especially in sportsmen. There is a need to classify the ACL tear before it fully …
Artificial intelligence in brain tumor detection through MRI scans: advancements and challenges
A brain tumor is one of the most perilous diseases in human beings. The manual
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …
[HTML][HTML] A comprehensive survey of deep learning algorithms and applications in dental radiograph analysis
The Integration of machine learning and traditional image processing in dentistry has
resulted in many applications like automatic teeth identification and numbering, caries …
resulted in many applications like automatic teeth identification and numbering, caries …
Image enhancement and segmentation techniques for detection of knee joint diseases: A survey
Background: Knee bone diseases are rare but might be highly destructive. Magnetic
Resonance Imaging (MRI) is the main approach to identify knee cancer and its treatment …
Resonance Imaging (MRI) is the main approach to identify knee cancer and its treatment …