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# Mitosis Detection Edit

2 papers with code · Medical

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# Joint Multi-frame Detection and Segmentation for Multi-cell Tracking

26 Jun 2019

Another UNet is utilized to acquire primary segmentation.

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

19 Apr 2019

Deep Learning (DL) approaches have been providing state-of-the-art performance in different modalities in the field of medical imagining including Digital Pathology Image Analysis (DPIA).

# Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks

17 Aug 2018

Application of CNNs to hematoxylin and eosin (H&E) stained histological tissue sections is hampered by: (1) noisy and expensive reference standards established by pathologists, (2) lack of generalization due to staining variation across laboratories, and (3) high computational requirements needed to process gigapixel whole-slide images (WSIs).

# Inferring the ground truth through crowdsourcing

31 Jul 2018

Universally valid ground truth is almost impossible to obtain or would come at a very high cost.

# Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection

31 Jul 2018

In this paper, we present a semi-supervised mitosis detection method which is designed to leverage a large number of unlabeled breast cancer WSIs.

# Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

22 Jul 2018

The best performing automatic method for the first task achieved a quadratic-weighted Cohen's kappa score of $\kappa$ = 0. 567, 95% CI [0. 464, 0. 671] between the predicted scores and the ground truth.

# Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs

12 Mar 2018

We have attempted to replicate the main method in 'Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs' published in JAMA 2016; 316(22).

# Domain-adversarial neural networks to address the appearance variability of histopathology images

19 Jul 2017

Preparing and scanning histopathology slides consists of several steps, each with a multitude of parameters.

# Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields

26 Aug 2016

A statistical analysis of these measurements requires annotation of mitosis events, which is currently a tedious and time-consuming task that has to be performed manually.

# Assessment of algorithms for mitosis detection in breast cancer histopathology images

21 Nov 2014

The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers.