Automated adenocarcinoma lung cancer tissue images segmentation based on clustering
সংরক্ষণ করুন:
| লেখক: | , |
|---|---|
| বিন্যাস: | artículo original |
| বর্তমান অবস্থা: | Versión publicada |
| প্রকাশনার তারিখ: | 2022 |
| বিবরন: | Cancer is one of the main dead causes worldwide. It is re- sponsible for an approximate of 1 out of 6 deaths globally and lung cancer is along breast cancer, the most common types of cancer in the population, which confirms the importance of studies associated with it. This work presents an approach toward lung cancer histological tissue images segmentation based on colour. The proposed method for the segmentation is K-means clustering, providing promising results that may become as an assistance for pathologists, as it can help them reduce the time consumed reviewing the slides and giving a more objective perspective in order to provide a diagnose and specific treatment. |
| দেশ: | Portal de Revistas TEC |
| প্রতিষ্ঠান: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| ভাষা: | Inglés |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/6442 |
| অনলাইন ব্যবহার করুন: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/6442 |
| মুখ্য শব্দ: | Digital pathology pattern recognition lung cancer Patología digital reconocimiento de patrones cáncer de pulmón |