EMTL-Net: Boosting segmentation quality in histopathology images of gland and nuclei by explainable multitask learning network as an optimized strategy

In spite of achieving human-level efficacy in gland and nuclei segmentation, modern deep learning-driven techniques still face challenges related to the loss of regional context information and disregard the importance of long-range semantic information during the optimization. Furthermore, one typi...

Повний опис

Бібліографічні деталі

Автори:	Haider Ali, Mingzhao Wang, Juanying Xie
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Elsevier 2024-03-01
Серія:	Engineering Science and Technology, an International Journal
Предмети:	Gland and nuclei segmentation Automated diagnosis Explainable multitask learning Histopathology images Deep learning
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S2215098624000223
Теги:	Додати тег Немає тегів, Будьте першим, хто поставить тег для цього запису!