Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR
Early diagnosis of breast lesions and differentiation of malignant lesions from benign lesions
are important for the prognosis of breast cancer. In the diagnosis of this disease ultrasound …
are important for the prognosis of breast cancer. In the diagnosis of this disease ultrasound …
Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization
A Gudigar, S Nayak, J Samanth… - International journal of …, 2021 - mdpi.com
Coronary artery disease is a major cause of morbidity and mortality worldwide. Its underlying
histopathology is the atherosclerotic plaque, which comprises lipid, fibrous and—when …
histopathology is the atherosclerotic plaque, which comprises lipid, fibrous and—when …
Alcoholic EEG signals recognition based on phase space dynamic and geometrical features
Alcoholism is a severe disorder that leads to brain problems and associated cognitive,
emotional and behavioral impairments. This disorder is typically diagnosed by a …
emotional and behavioral impairments. This disorder is typically diagnosed by a …
Accurate detection of myocardial infarction using non linear features with ECG signals
Interrupted blood flow to regions of the heart causes damage to heart muscles, resulting in
myocardial infarction (MI). MI is a major source of death worldwide. Accurate and timely …
myocardial infarction (MI). MI is a major source of death worldwide. Accurate and timely …
An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization
P Kumar, GG Nair - Biomedical Signal Processing and Control, 2021 - Elsevier
Decision tree algorithm is one of the algorithm which is easily understandable and
interpretable algorithm used in both training and application purpose during breast cancer …
interpretable algorithm used in both training and application purpose during breast cancer …
Intraductal Papillomas.
SN Tierney - The Surgical Clinics of North America, 2022 - europepmc.org
The most common manifestation of papillary breast disease is intraductal papilloma (IDP).
As breast disease management becomes more refined, increasing attention has been …
As breast disease management becomes more refined, increasing attention has been …
Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model
Background and objective Vesicoureteral reflux is the leakage of urine from the bladder into
the ureter. As a result, urinary tract infections and kidney scarring can occur in children …
the ureter. As a result, urinary tract infections and kidney scarring can occur in children …
Novel hypertrophic cardiomyopathy diagnosis index using deep features and local directional pattern techniques
Hypertrophic cardiomyopathy (HCM) is a genetic disorder that exhibits a wide spectrum of
clinical presentations, including sudden death. Early diagnosis and intervention may avert …
clinical presentations, including sudden death. Early diagnosis and intervention may avert …
[HTML][HTML] Spectrum of imaging findings of papillary breast disease: a radiopathological review in a tertiary center
Spectrum of imaging findings of papillary breast disease: A... : Medicine Spectrum of imaging
findings of papillary breast disease: A radiopathological review in a tertiary center : Medicine …
findings of papillary breast disease: A radiopathological review in a tertiary center : Medicine …
Classification of the weather images with the proposed hybrid model using deep learning, SVM classifier, and mRMR feature selection methods
As in many fields, the use of artificial intelligence methods in the classification of weather
images will be very useful. In this study, a data set consisting of five classes such as cloudy …
images will be very useful. In this study, a data set consisting of five classes such as cloudy …