Review Article

An Overview and Study of CAD Systems for Mass Detection and Classification and Mammography for the Detection of Breast Cancer

INTRODUCTIONIn terms of prevalence among women globally, breast cancer is one of the most common cancers. According to data [80] from the World Health Organization (WHO) affiliate Global Cancer Observatory (GCO) published in 2020, for every 100,000. The most common disease in the world, breast cancer, affects 47.8% of people. second in the global rankings …

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Intensive Training in Breast Imaging With Artificial Intelligence and Deep Learning- A Review Article

INTRODUCTIONThe area of medical imaging offers significant potential for change because to artificial intelligence (AI). Recent developments in computer algorithms, expanded computing availability power, and more people having access to large data, are this uprising. AI software may be trained to extract huge data sets with patterns, including sets with a large number of medical …

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Intrathecal Chemotherapy for Blood Cancer Treatment

IntroductionChemotherapy is one in every of the most treatments for blood cancers, and is typically enclosed or injected into a vein [1,2,3,4]. The drug(s) travel throughout the blood to destroy cancerous cells, and area unit usually utilized in combination with different therapies typically preceding somatic cell transplants to revive healthy blood cells. We offer the …

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Assess of Hydrazine Sulphate (N2H6SO4) in Opposition For The Majority of Cancer Cells

IntroductionHydrazine Sulphate (N2H6SO4) has furthermore been used to put together rocket fuel, as herbicides, and as a substance dealer in the tank and cooling-tower water systems [1]. Numerous scientists don’t forget hydrazine sulfate and different analogous materials to be most cancer-inflicting dealers and are worried approximately the protection of the usage of those compounds [2].Theories …

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A Large-Scale Multi-Centre Research On Domain Generalisation in Mammography Artificial Learning-Based Mass Detection A Review

Introduction MEDICAL IMAGING DOMAIN GENERALIZATION: Samala et al [1] investigated of the classification error of a deep convolutional neural network Mammograms can detect benign and cancerous tumours. They aim to balance the brain’s capacity for learning and remembering by changing the percentage of faulty data in the training data set. They came to the conclusion …

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