NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images
A Mahbod, C Polak, K Feldmann, R Khan, K Gelles… - Scientific Data, 2024 - nature.com
In computational pathology, automatic nuclei instance segmentation plays an essential role
in whole slide image analysis. While many computerized approaches have been proposed …
in whole slide image analysis. While many computerized approaches have been proposed …
FUSeg: The foot ulcer segmentation challenge
Wound care professionals provide proper diagnosis and treatment with heavy reliance on
images and image documentation. Segmentation of wound boundaries in images is a key …
images and image documentation. Segmentation of wound boundaries in images is a key …
Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature …
N Saeidi, H Karshenas, B Shoushtarian… - arXiv preprint arXiv …, 2024 - arxiv.org
Breast cancer is a significant global health concern, particularly for women. Early detection
and appropriate treatment are crucial in mitigating its impact, with histopathology …
and appropriate treatment are crucial in mitigating its impact, with histopathology …
[PDF][PDF] NuInsSeg: a fully annotated dataset for nuclei instance segmentation in H&E-stained histological images
Methods Sample preparation. The NuInsSeg dataset 26 contains fully annotated brightfield
images for nuclei instance segmentation. The H&E-stained sections of 23 different human …
images for nuclei instance segmentation. The H&E-stained sections of 23 different human …