Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches

8 November 2018

Papers citing "Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches"

5 / 5 papers shown

BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point LabelsIEEE Transactions on Medical Imaging (IEEE TMI), 2024

333

15 Jan 2024

A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification

Islam Mohammad Shariful

Xinyu Huang

200

14 Feb 2022

A Light-weight Interpretable Compositional Model for Nuclei Detection and Weakly-Supervised Segmentation

...

247

26 Oct 2021

CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets

102

13 Jun 2019

Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases

128

19 Apr 2019