Detection and classification of COVID-19 using supervised deep learning on MRI images
Healthcare services in many parts of the world, but especially in emerging countries, have been made aware of the risks presented by the COVID-19 pandemic. In areas where bulk traditional testing is not practical, new computer-assisted diagnosis methods ...
Development of rough-TOPSIS algorithm as hybrid MCDM and its implementation to predict diabetes
In this work, an innovative approach of multi-criteria decision-making method guided by rough set theory is researched to predict diabetes. Diabetes is the root cause of various deadly diseases. Designing an expert diabetes prediction model can solve the ...
Molecular docking analysis of natural compounds from medicinal plants against α-amylase and α-glucosidase of type 2 diabetes
Diabetes is a metabolic condition in which the human body cannot produce or absorb insulin adequately, resulting in increased blood sugar levels. Traditional herbal remedies are gaining popularity since they have fewer adverse effects, unlike chemical or ...
Automated invasive cervical cancer disease detection at early stage through deep learning
Within the whole world, cervical cancer is one of the major causes of mortality for women. Currently, it is quite difficult for medical personnel to find such cancer before it spreads quickly. In order to predict cervical cancer using risk factors, this ...
Green vegetation detection in satellite imagery using the normalised difference vegetation index method
With unmatched growth of the human population, it has become difficult for the government to keep track of farmland's correct map, which is critical for estimating the country's agricultural state, resources based on nature, utilisation of land along with ...