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Abstract Introduction Hemangioma is a benign tumor made up of blood vessels and typically occurs as a slightly elevated purplish or reddish area of skin. Hemangioma is mostly found superficially; subcutaneous hemangioma in the nasal dorsum is rare. Case presentation In West Nusa Tenggara Regional Hospital, the authors found two cases of subcutaneous hemangioma in patients of very different ages. The first patient was a 2-year-old Sasak girl, and the other was a 40-year-old Sasak man. The pediatric patient was treated with an elliptical approach, whereas the adult patient was treated with lateral rhinotomy extended by an elliptical approach to remove the hemangioma and ligate the feeding arteries. After surgery, the adult patient was followed up for 5 months, whereas the pediatric patient was followed up for 3 months. The results for both patients were good, with minimal scar formation. Conclusion Despite the limitations of technology and human resources in a remote area of Indonesia, the surgical approach used in these cases produced good outcomes for both patients.

Introduction: Hemangioma is a benign tumor made up of blood vessels and typically occurs as a slightly elevated purplish or reddish area of skin. Hemangioma is mostly found superficially; subcutaneous hemangioma in the nasal dorsum is rare.Case Presentation: In West Nusa Tenggara Regional Hospital, the authors found two cases of subcutaneous hemangioma in patients of very different ages. The first patient was a 2-year-old Sasak girl, and the other was a 40-year-old Sasak man. The pediatric patient was treated with an elliptical approach, whereas the adult patient was treated with lateral rhinotomy extended by an elliptical approach to remove the hemangioma and ligate the feeding arteries. After surgery, the adult patient was followed up for 5 months, whereas the pediatric patient was followed up for 3 months. The results for both patients were good, with minimal scar formation.Conclusion: Despite the limitations of technology and human resources in a remote area of Indonesia, the surgical approach used in these cases produced good outcomes for both patients. [ABSTRACT FROM AUTHOR]

In this study, a robust method is proposed for accurately separating overlapping cell nuclei in cervical microscopic images. This method is based on watershed transformation and an elliptical approach. Since the watershed transformation process of taking the initial seed is done manually, the method was developed to obtain the initial seed automatically. Total initial seeds at this stage represents the number of nuclei that exist in the image of a pap smear, either overlapping or not. Furthermore, a method was developed based on an elliptical approach to obtain the area of each of the nuclei automatically. This method can successfully separate several (more than two) clustered cell nuclei. In addition, the proposed method was evaluated by experts and was proven to have better results than methods from previous studies in terms of accuracy and execution time. The proposed method can determine overlapping and non-overlapping boundaries of nuclei fast and accurately. The proposed method provides better decision-making on areas with overlapping nuclei and can help to improve the accuracy of image analysis and avoid information loss during the process of image segmentation.

In this study, a robust method is proposed for accurately separating overlapping cell nuclei in cervical microscopic images. This method is based on watershed transformation and an elliptical approach. Since the watershed transformation process of taking the initial seed is done manually, the method was developed to obtain the initial seed automatically. Total initial seeds at this stage represents the number of nuclei that exist in the image of a pap smear, either overlapping or not. Furthermore, a method was developed based on an elliptical approach to obtain the area of each of the nuclei automatically. This method can successfully separate several (more than two) clustered cell nuclei. In addition, the proposed method was evaluated by experts and was proven to have better results than methods from previous studies in terms of accuracy and execution time. The proposed method can determine overlapping and nonoverlapping boundaries of nuclei fast and accurately. The proposed method provides better decision-making on areas with overlapping nuclei and can help to improve the accuracy of image analysis and avoid information loss during the process of image segmentation. [ABSTRACT FROM AUTHOR]