Evaluation of denoising techniques to remove speckle and Gaussian noise from dermoscopy images
E Goceri - Computers in Biology and Medicine, 2023 - Elsevier
Computerized methods provide analyses of skin lesions from dermoscopy images
automatically. However, the images acquired from dermoscopy devices are noisy and cause …
automatically. However, the images acquired from dermoscopy devices are noisy and cause …
[HTML][HTML] Hybrid deep learning for detecting lung diseases from X-ray images
Lung disease is common throughout the world. These include chronic obstructive pulmonary
disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is …
disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is …
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning
Breast cancer is a common cancer in women. Early detection of breast cancer in particular
and cancer, in general, can considerably increase the survival rate of women, and it can be …
and cancer, in general, can considerably increase the survival rate of women, and it can be …
A review on epidemiology, genomic characteristics, spread, and treatments of COVID-19
In December 2019, a new form of coronavirus named severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) started spreading in Wuhan, China. According to the situation …
coronavirus 2 (SARS-CoV-2) started spreading in Wuhan, China. According to the situation …
[HTML][HTML] Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images
Objective Tuberculosis (TB) is among the most frequent causes of infectious-disease-related
mortality. Despite being treatable by antibiotics, tuberculosis often goes misdiagnosed and …
mortality. Despite being treatable by antibiotics, tuberculosis often goes misdiagnosed and …
Adaptive total variation L1 regularization for salt and pepper image denoising
In this article, we propose an adaptive total variation (TV) regularization model for salt and
pepper denoising in digital images. The adaptive TV denoising method is developed based …
pepper denoising in digital images. The adaptive TV denoising method is developed based …
Adaptive frequency median filter for the salt and pepper denoising problem
In this article, the authors propose an adaptive frequency median filter (AFMF) to remove the
salt and pepper noise. AFMF uses the same adaptive condition of adaptive median filter …
salt and pepper noise. AFMF uses the same adaptive condition of adaptive median filter …
Application of machine learning for the diagnosis of COVID-19
This chapter focuses on the application of machine learning algorithms on the diagnosis of
the novel coronavirus disease (COVID-19). First, data visualization is provided on increases …
the novel coronavirus disease (COVID-19). First, data visualization is provided on increases …
A comparative analysis of image denoising problem: noise models, denoising filters and applications
Noise reduction is a perplexing undertaking for the researchers in digital image processing
and has a wide range of applications in automation, IoT (Internet of Things), medicine, etc …
and has a wide range of applications in automation, IoT (Internet of Things), medicine, etc …
An adaptive method for image restoration based on high-order total variation and inverse gradient
The total variation (TV) regularization model for image restoration is widely utilized due to its
edge preservation properties. Despite its advantages, the TV regularization can obtain …
edge preservation properties. Despite its advantages, the TV regularization can obtain …