Пошук академічних текстів

Інформація × Реєстраційний номер 2119U006528, Матеріали видань та локальних репозитаріїв Категорія Препринт Назва роботи Medical image segmentation using shape prior information and deep neural networks Автор Petryshak BohdanPetryshak Bohdan Дата публікації 01-01-2019 Постачальник інформації Український католицький університет Першоджерело https://hdl.handle.net/20.500.14570/4485 Видання Опис Semantic image segmentation is the task of classifying each pixel of an image into a corresponding category of what is being represented. It is an essential step to- wards automating image analysis process. However, the low-quality signal, high level of noise, variety of objects appearance, little amount of labeled data are the critical obstacles which stand on the way of achieving the perfect segmentation re- sults. Incorporating the shape prior knowledge has proven significant improvement of the segmentation results. In this work, we extend the existing method of incorpo- rating shape priors within the FCN segmentation framework to a multiclass seman- tic segmentation. We demonstrate the superiority of our extension in five different datasets and show that it capable of making the segmentation results more accurate and plausible in multiclass problems. . . . Додано в НРАТ 2025-11-05 Закрити