Ensemble based system for whole-slide prostate cancer probability mapping using color texture features-Reference-Cited by-同舟云学术

Ensemble based system for whole-slide prostate cancer probability mapping using color texture features

Published:2011-10 Issue:7-8 Volume:35 Page:629-645
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

DiFranco Matthew D.,O’Hurley Gillian,Kay Elaine W.,Watson R. William G.,Cunningham Padraig

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference51 articles.

1. Prediction of prognosis for prostatic adenocarcinoma by combined histological grading and clinical staging;Gleason;The Journal of Urology,1974

2. An update of the Gleason grading system;Epstein;The Journal of Urology,2010

3. Current perspectives on the Gleason grading of prostate cancer;Shah;Archives of Pathology & Laboratory Medicine,2009

4. The 2005 International Society of Urological Pathology (ISUP) consensus conference on Gleason grading of prostatic carcinoma;Epstein;The American Journal of Surgical Pathology,2005

5. Discrepancies between Gleason scores of needle biopsy and radical prostatectomy specimens;Fukagai;Pathology International,2001

Cited by 43 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancements in computer vision and pathology: Unraveling the potential of artificial intelligence for precision diagnosis and beyond;Advances in Cancer Research;2024

2. Intelligent framework for brain tumor grading using advanced feature analysis;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2022-06-08

3. Impact of Region-of-Interest Size on Immune Profiling Using Multiplex Immunofluorescence Tyramide Signal Amplification for Paraffin-Embedded Tumor Tissues;Pathobiology;2022-05-24

4. A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches;Artificial Intelligence Review;2022-01-31

5. Reduced and stable feature sets selection with random forest for neurons segmentation in histological images of macaque brain;Scientific Reports;2021-11-26