This paper presents a comparison of cell nucleus segmentation and area measurement of Pap smear images by means of modification of color canals with Canny edge detection and morphological reconstruction methods. Regular Pap smear screening is the most successful attempt of medica...

This paper presents a texture analysis and comparison of clasification ofcell nucleus images. Texture analysis will be focused on the nuclei of Image Pap smear cell. The method of analysis texture is the statistical second order of Grey Level Co-occurrence Matrix (GLCM). There are five parameter t...

Detection and identification of cells in a Pap smear test is very important for determining cell abnormalities. Detection of cells becomes an important stage in early detection of cervical cancer. The presence of inflammatory cells in Pap smear images often results in the identification of nuclei in...

The presence of inflammatory cells complicates theprocess of identifying the nuclei in the early detection of cervicalcancer. Inflammatory cells need to be eliminated to assistpathologists in reading Pap smear slides. The texture of GreyLevel Run-Length Matrix (GLRLM) for inflammatory cells andnucle...

The aim of organizing strategic marketing and digital marketing training activities for the rattan processingindustries in Cirebon Regency, West Java, Indonesia was to provide knowledge and skills in strategic anddigital marketing. The training which was held for 8 (eight) hours was attended by 20 m...