NIS3D: a completely annotated benchmark for dense 3D nuclei image segmentation

W Zheng, C Peng, Z Hou, B Lyu… - Advances in …, 2024 - proceedings.neurips.cc
Abstract 3D segmentation of nuclei images is a fundamental task for many biological
studies. Despite the rapid advances of large-volume 3D imaging acquisition methods and …

A region-based convolutional network for nuclei detection and segmentation in microscopy images

H Liang, Z Cheng, H Zhong, A Qu, L Chen - Biomedical Signal Processing …, 2022 - Elsevier
Automated detection and segmentation of nuclei in microscopy images are of significant
importance to biomedical research and clinical practice, including nuclear morphology …

A fast and accurate algorithm for nuclei instance segmentation in microscopy images

Z Cheng, A Qu - IEEE Access, 2020 - ieeexplore.ieee.org
Nuclei instance segmentation within microscopy images is a fundamental task in the
pathology work-flow, based on that the meaningful nuclear features can be extracted and …

An integration convolutional neural network for nuclei instance segmentation

A Qu, Z Cheng, X He, Y Li - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Automated detection and segmentation of every nucleus in microscopy images is a
fundamental task in biomedical research and clinical practice, including nuclear morphology …

Segmentation of Microscope Erythrocyte Images by CNN-Enhanced Algorithms

M Buczkowski, P Szymkowski, K Saeed - Sensors, 2021 - mdpi.com
This paper presents an algorithm for segmentation and shape analysis of erythrocyte
images collected using an optical microscope. The main objective of the proposed approach …

[CITAZIONE][C] 基于高倍率细胞内镜系统的细胞核分割

张伟, 余浩, 袁波, 王立**, 杨青 - Optics and Precision …, 2021 - 光学 精密工程编辑部