An Automatic Nuclei Segmentation Method Based on Deep Convolutional Neural Networks for Histopathology Images

BMC Biomedical Engineering
doi 10.1186/s42490-019-0026-8
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Nuclei Segmentation of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural Networks

2017English

Automatic Nuclei Segmentation in H&E Stained Breast Cancer Histopathology Images

PLoS ONE
Multidisciplinary
2013English

Integration of Spatial Information in Convolutional Neural Networks for Automatic Segmentation of Intraoperative Transrectal Ultrasound Images

Journal of Medical Imaging
Nuclear MedicineRadiologyImaging
2018English

Automatic Glaucoma Classification Using Color Fundus Images Based on Convolutional Neural Networks and Transfer Learning

Biomedical Optics Express
BiotechnologyOpticsAtomicMolecular Physics,
2019English

Automatic Segmentation and Counting of Aphid Nymphs on Leaves Using Convolutional Neural Networks

Agronomy
AgronomyCrop Science
2018English

An Automatic Method for Renal Cortex Segmentation on CT Images

Academic Radiology
Nuclear MedicineRadiologyImaging
2012English

Segmentation of Lung Ct Images Using Cascaded Fully Convolutional Neural Networks

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Fully Automatic Brain Tumor Segmentation Using End-To-End Incremental Deep Neural Networks in MRI Images

Computer Methods and Programs in Biomedicine
SoftwareComputer Science ApplicationsHealth Informatics
2018English

Liver Segmentation and Metastases Detection in MR Images Using Convolutional Neural Networks

Journal of Medical Imaging
Nuclear MedicineRadiologyImaging
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy