[Retracted] COVID‐19 Detection Based on Lung Ct Scan Using Deep Learning Techniques
SARS‐CoV‐2 is a novel virus, responsible for causing the COVID‐19 pandemic that has
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …
Investigating the role of image fusion in brain tumor classification models based on machine learning algorithm for personalized medicine
R Nanmaran, S Srimathi, G Yamuna… - … methods in medicine, 2022 - Wiley Online Library
Image fusion can be performed on images either in spatial domain or frequency domain
methods. Frequency domain methods will be most preferred because these methods can …
methods. Frequency domain methods will be most preferred because these methods can …
A Practical Approach for Predicting Power in a Small‐Scale Off‐Grid Photovoltaic System using Machine Learning Algorithms
Climate change and the energy crisis substantially motivated the use and development of
renewable energy resources. Solar power generation is being identified as the most …
renewable energy resources. Solar power generation is being identified as the most …
Diagnosis of retinal diseases based on Bayesian optimization deep learning network using optical coherence tomography images
M Subramanian, MS Kumar… - Computational …, 2022 - Wiley Online Library
Retinal abnormalities have emerged as a serious public health concern in recent years and
can manifest gradually and without warning. These diseases can affect any part of the retina …
can manifest gradually and without warning. These diseases can affect any part of the retina …
Clinical decision support systems (CDSS) in assistance to COVID‐19 diagnosis: A sco** review on types and evaluation methods
Abstract Background and Aims Due to the COVID‐19 pandemic, a precise and reliable
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …
Prediction of the age and gender based on human face images based on deep learning algorithm
S Haseena, S Saroja, R Madavan… - … Methods in Medicine, 2022 - Wiley Online Library
In recent times, nutrition recommendation system has gained increasing attention due to
their need for healthy living. Current studies on the food domain deal with a …
their need for healthy living. Current studies on the food domain deal with a …
Diagnosing Breast Cancer Based on the Adaptive Neuro‐Fuzzy Inference System
In this work, a novel hybrid neuro‐fuzzy classifier (HNFC) technique is proposed for
producing more accuracy in input data classification. The inputs are fuzzified using a …
producing more accuracy in input data classification. The inputs are fuzzified using a …
Recommender system for the efficient treatment of COVID-19 using a convolutional neural network model and image similarity
Background: Hospitals face a significant problem meeting patients' medical needs during
epidemics, especially when the number of patients increases rapidly, as seen during the …
epidemics, especially when the number of patients increases rapidly, as seen during the …
Deep learning for personalized health monitoring and prediction: A review
Personalized health monitoring and prediction are indispensable in advancing healthcare
delivery, particularly amidst the escalating prevalence of chronic illnesses and the aging …
delivery, particularly amidst the escalating prevalence of chronic illnesses and the aging …
[PDF][PDF] Explainable machine learning techniques in medical image analysis based on classification with feature extraction
Animals are also afflicted by COVID-19, a virus that is quickly spreading and infects both
humans and animals. This fatal viral disease has an impact on people's daily lives, health …
humans and animals. This fatal viral disease has an impact on people's daily lives, health …