Author:
Johnston Luke,Yu Zhangsheng
Subject
Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference27 articles.
1. S. Chetan, et al., Deep neural network models for computational histopathology: A survey, 2020.
2. Rare Cells: Focus on Detection and Clinical Relevance;De Biasi,2017
3. SONNET: a self-guided ordinal regression neural network for segmentation and classification of nuclei in large-scale multi-tissue histology images;Doan;IEEE J. Biomed. Health Informatics,2022
4. GradMix for nuclei segmentation and classification in imbalanced pathology image datasets;Doan;Lect. Notes Comput. Sci.,2022
5. S. Elizaveta, et al., An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry.