GV Black dental caries classification and preparation technique using optimal CNN-LSTM classifier
P Singh, P Sehgal - Multimedia Tools and Applications, 2021 - Springer
Dental caries is one of the oral diseases which are a major health problem for many people
across the globe. It can lead to pain, discomfort, disfigurement, and even death in some …
across the globe. It can lead to pain, discomfort, disfigurement, and even death in some …
Multispectral image denoising methods: A literature review
The Multispectral images appear to give a more true representation of real-world scenes to
improve the efficiency of many tasks involving computer vision and object extraction …
improve the efficiency of many tasks involving computer vision and object extraction …
Diagnosis of Pulpitis from Dental Panoramic Radiograph Using Histogram of Gradients with Discrete Wavelet Transform and Multilevel Neural Network Techniques.
A Vigil, S Bharathi - Traitement du Signal, 2021 - search.ebscohost.com
Radiograph plays the major role of diagnosis, treatment and surgery in the Dental field.
There are many types of Intra and extra oral radiographs in which Dental Panoramic …
There are many types of Intra and extra oral radiographs in which Dental Panoramic …
Automatic food leftover estimation in tray box using image segmentation
Nutritional food is the most important aspect for people to fulfil their daily needs, but
nowadays, the change of lifestyle can affect the style of food consumption, for instance …
nowadays, the change of lifestyle can affect the style of food consumption, for instance …
An inexact Newton method for unconstrained total variation-based image denoising by approximate addition
The Inexact Newton method using the conjugate gradient has been widely used to solve
large-scale unconstrained optimization problems, such as the total variation-based image …
large-scale unconstrained optimization problems, such as the total variation-based image …
Modified adaptive median filtering
S Zhang, X Li, C Zhang - … Transportation, Big Data & Smart City …, 2018 - ieeexplore.ieee.org
A modified adaptive median filtering algorithm is proposed, which can effectively remove the
impulse noise and preserve the image details. The algorithm includes noise detection and …
impulse noise and preserve the image details. The algorithm includes noise detection and …
Edge-preserving smoothing filter using fast M-estimation method with an automatic determination algorithm for basic width
Y Yamaguchi, I Yoshida, Y Kondo, M Numada… - Scientific Reports, 2023 - nature.com
Digital filtering is essential for digital imaging, image recognition, and super-resolution
technology. For example, the presence of noise in images captured by digital cameras …
technology. For example, the presence of noise in images captured by digital cameras …
Brain tumor recognition from multimodal magnetic resonance images using wavelet texture features and optimized artificial neural network
Magnetic resonance (MR) images are commonly used for quantitative analysis and
diagnosis of various diseases. An optimized wavelet-based textural feature model for the …
diagnosis of various diseases. An optimized wavelet-based textural feature model for the …
Research on image denoising based on median filter
X Li, J Ji, J Li, S He, Q Zhou - 2021 IEEE 4th Advanced …, 2021 - ieeexplore.ieee.org
Medical images provide intuitive visualization methods and provide reliable basis for
disease diagnosis and treatment. In the process of medical image acquisition, transmission …
disease diagnosis and treatment. In the process of medical image acquisition, transmission …
Preliminary study of improved median filter using adaptively mask size in light microscopic image
JY Kim, Y Lee - Microscopy, 2020 - academic.oup.com
This study aimed to develop and evaluate an improved median filter (IMF) with an adaptive
mask size for light microscope (LM) images. We acquired images of the mouse first molar …
mask size for light microscope (LM) images. We acquired images of the mouse first molar …