The field of medical imaging gains value by increasing the need for automatic, reliable, fast and effective diagnostics that can provide insight into the image better than the human eye. A brain tumor is the second leading cause of cancer-related deaths in men aged 20 to 39 and the fifth leading cause of cancer among women in the same age group. Diagnosis of a tumor is a very important part of its treatment. Images are obtained by Computed Tomography (CT) and are processed for medical and therapeutic purposes. This paper discusses Watershed algorithm that can inform the user of tumor details using basic image processing techniques. This process helps to determine the size, shape and shape of the tumor. It helps medical staff and the patient understand the seriousness of the tumor. The contour GUI of the tumor and its boundary can provide information to medical personnel by clicking the user selection buttons.
<p class="abstract">A 14-year-old male presented with pain and swelling of left knee since 15 days with history of non-significant trauma and mild fever. On clinical examination there was raised superficial skin temperature and pre-patellar effusion with positive patellar tap. Haematological investigations show moderate leucocytosis and raised acute phase reactants, with an unremarkable radiography. Under the impression of infective pre-patellar bursitis, patient was posted for arthrotomy, debridement and wound wash. Post-operative broad spectrum antibiotics started. 2 weeks after surgery the swelling reappears, when an advanced imaging was offered which shows osteomyelitic changes in upper pole of patella. After 6 weeks of intravenous antibiotics and conservative management, the lesion was healed leaving no sequel.</p><p class="abstract"> </p>
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