DETERMINING THE LOCATION AND SIZE OF THE BRAIN TUMOR WITH 3D SLICER

Cancer is the leading cause of death in both developed and developing countries. Brain and other central nervous system (CNS) tumors are among the most fatal cancers and account for substantial morbidity and mortality in the United States. Brain tumors account for 85% to 90% of all primary central nervous system (CNS) tumors. Worldwide, an estimated 308,102 people were diagnosed with a primary brain or spinal cord tumor in 2020. Detection of brain tumors on MR images is a time-consuming and laborious task performed by radiologists and doctors. Efforts have been made to develop automated systems to assist physicians in tumor detection and diagnosis and treatment planning. Our aim here is to make the tumor tissue easier to detect by labeling and thresholding the brain MR image

IMAGE PROCESSING TECHNIQUES FOR DETECTING PNEUMONIA

In 2019 alone, Pneumonia was the cause of 2.49 Million deaths around the world. If we count the deaths due to COVID-19 since 2020 for all-cause pneumonia, Pneumonia would surpass all other infectious killers. While traditionally speaking, Pneumonia is considered as a lung disease, acute pneumonia has important effects on the cardiovascular system at all severities of infection. It is also a leading cause of worsening cardiovascular risk and results have shown that about a quarter of adults admitted to hospital with pneumonia develop a major acute cardiac complication during their treatment and an increase of 60% in short-term mortality. As it has always been one of the major infectious diseases resulting in millions of deaths of children as well as elderly population, there is a strong interest and research to find an early diagnosis of pneumonia with easily accessible technology

MACHINE LEARNING IN NEURODEGENERATIVE DISORDERS

Neurodegenerative disorders were responsible for 272,644 deaths in 2016 along in the US. The government spent $655 billion in 2020 for the direct and indirect medical costs from these diseases. Although experiments have been going on to find the cure for the neurodegenerative diseases, there has not been an efficient way till date to completely cure the diseases. Recently, there have been studies in understanding the cause of the diseases so as to plan for the early detection and treatment of diseases such Alzheimer’s, Parkinson’s disease and motor neuron diseases. Since proteins are the functional backbone of our body, understanding their formation and their relation to disease growth is a subject of interest. This is a study to link the application of a few methods developed in recent times to predict the presence of neurodegenerative diseases

DETERMINING THE LOCATION AND SIZE OF THE BRAIN TUMOR WITH 3D SLICER

Cancer is the leading cause of death in both developed and developing countries. Brain and other central nervous system (CNS) tumors are among the most fatal cancers and account for substantial morbidity and mortality in the United States. Brain tumors account for 85% to 90% of all primary central nervous system (CNS) tumors. Worldwide, an estimated 308,102 people were diagnosed with a primary brain or spinal cord tumor in 2020. Detection of brain tumors on MR images is a time-consuming and laborious task performed by radiologists and doctors. Efforts have been made to develop automated systems to assist physicians in tumor detection and diagnosis and treatment planning. Our aim here is to make the tumor tissue easier to detect by labeling and thresholding the brain MR image

To Study the Risk of Hepatocellular Cancer in Patients with Non-alcoholic Fatty Liver Disease in Central India

Common cancer and the third leading cause of cancer-related deaths. A known risk factor for HCC is non-alcoholic fatty liver disease (NAFLD), a continuum of hepatic disorders related to obesity and the metabolic syndrome. AIM: We conducted an observational study to identify risk factors for hepatocellular cancer in patients with non-alcoholic fatty liver disease who came to SMHRC Nagpur for a routine visit. MATERIAL AND METHODS: The study included 300 people aged 35 to 85 years old who visited Shalinitai Meghe hospital in Nagpur for a health check-up. We were able to keep the two groups apart here. The control group is made up of alcoholics with fatty liver, while the study group is made up of non-alcoholics with fatty liver. Each community consists of 150 patients. A quantitative diagnostic kit was used to analyse liver function and lipid profile analyses, which were then examined using a photometric process. The enzyme related immunosorbant assay was used to detect glutathione s transferase pi. RESULTS: Non-alcoholic fatty liver had greater LFT than alcoholic fatty liver in the control group, according to the report