(Q35686841)

9 August 2017

title

Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features (English)

1 reference

convolutional neural network

9 August 2017

main subject

1 reference

1 reference

Angel Cruz-Roa

2

0 references

Anant Madabhushi

object named as

Anant Madabhushi

9

0 references

author name string

Haibo Wang

1

1 reference

9 August 2017

Ajay Basavanhally

3

1 reference

9 August 2017

Hannah Gilmore

4

1 reference

9 August 2017

Natalie Shih

5

1 reference

9 August 2017

Mike Feldman

6

1 reference

9 August 2017

John Tomaszewski

7

1 reference

9 August 2017

Fabio Gonzalez

8

1 reference

9 August 2017

publication date

10 October 2014

1 reference

Journal of Medical Imaging

9 August 2017

published in

1 reference

9 August 2017

volume

1

1 reference

9 August 2017

issue

3

1 reference

9 August 2017

page(s)

034003

1 reference

Automated mitosis detection in histopathology using morphological and multi-channel statistics features.

9 August 2017

cites work

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4479031

Classification of mitotic figures with convolutional neural networks and seeded blob features

27 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4479031

Mitosis detection in breast cancer histological images An ICPR 2012 contest.

27 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4479031

Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach.

27 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4479031

Histopathological image analysis: a review

27 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4479031

Histological grading and prognosis in breast cancer; a study of 1409 cases of which 359 have been followed for 15 years

27 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4479031

Comparison of the prognostic value of Scarff-Bloom-Richardson and Nottingham histological grades in a series of 825 cases of breast cancer: major importance of the mitotic count as a component of both grading systems

27 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4479031

Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up

27 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4479031

A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection

27 July 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/26158062

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/26158062

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1117/1.JMI.1.3.034003

1 reference

release_llbj5ksvcnfidmfdul2orkprfe

9 August 2017

Fatcat ID

1 reference

Fatcat

https://api.fatcat.wiki/v0/release/llbj5ksvcnfidmfdul2orkprfe

mapped directly with Wikidata item

24 November 2022

based on heuristic

PMC publication ID

4479031

1 reference

9 August 2017

1 reference