DOI: 10.37421/2157-7420.2022.13.422
DOI: 10.37421/2157-7420.2022.13.424
DOI: 10.37421/2157-7420.2022.13.423
DOI: 10.37421/2157-7420.2022.13.425
Acute discontinuous porphyria is an intriguing autosomal prevailing sickness described by a lack of hydroxymethylbilane synthase (HMBS). It gives stomach torment, sickness, spewing, fringe neuropathy, and seizures. Treatment for intense assaults is intravenous heme. Conclusive treatment is an orthotopic liver transfer. This action gives an outline of the etiology, clinical show, assessment, the executives, and treatment of the illness by an interprofessional group. “Porphyria” has been gotten from the old Greek word porphura, significance purple. Porphyrins are forerunners of heme, a fundamental part of hemoglobin. Every subunit of hemoglobin is a globular protein containing an inserted heme bunch that contains one iron iota, fit for restricting one oxygen particle. The heme union pathway is a multi-step process that includes a particular catalyst at each step. Consequently, porphyrias are unmistakable clinical disorders, which emerge because of lack or deformity in a specific chemical required for a particular step of the heme combination pathway. Albeit these conditions have expectedly been arranged relying upon the dominating framework included (cutaneous versus neurohepatic), huge cross-over happens, and numerous porphyrias present with blended side effects.
DOI: 10.37421/2157-7420.2022.13.421
Brain tumor detection is an important task in medical image processing. Early diagnosis of brain tumors plays an important role in improving treatment possibilities and increases the survival rate of the patients. The detection of brain tumor from Magnetic Resonance (MR) images is a vital, but time consuming task performed by medical experts. The knowledge of this information regarding tumor in the brain is important for diagnosis planning and treatment. The location of the brain tumor and precise size are detected with brain tumor detection. Sometimes MRI brain images corrupted by some noise. In this project we specially focus on detecting tumor from brain MRI images. By using thresholding technique extraction of the tumor takes place and then calculates the tumor area.
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