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Literature DB >> 27532016

Automatic batch-invariant color segmentation of histological cancer images.

Sonal Kothari¹, John H Phan², Richard A Moffitt², Todd H Stokes², Shelby E Hassberger², Qaiser Chaudry¹, Andrew N Young³, May D Wang².

Abstract

Entities: Chemical Disease Gene Species

Year: 2011 PMID： 27532016 PMCID： PMC4983436 DOI： 10.1109/ISBI.2011.5872492

Source DB: PubMed Journal: Proc IEEE Int Symp Biomed Imaging ISSN： 1945-7928

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5 in total

1. Supervised learning-based cell image segmentation for p53 immunohistochemistry.

Authors: K Z Mao; Peng Zhao; Puay-Hoon Tan
Journal: IEEE Trans Biomed Eng Date: 2006-06 Impact factor: 4.538

2. Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology.

Authors: Ajay Nagesh Basavanhally; Shridar Ganesan; Shannon Agner; James Peter Monaco; Michael D Feldman; John E Tomaszewski; Gyan Bhanot; Anant Madabhushi
Journal: IEEE Trans Biomed Eng Date: 2009-10-30 Impact factor: 4.538

3. Extraction of informative cell features by segmentation of densely clustered tissue images.

Authors: Sonal Kothari; Qaiser Chaudry; May D Wang
Journal: Conf Proc IEEE Eng Med Biol Soc Date: 2009

4. Multifeature prostate cancer diagnosis and Gleason grading of histological images.

Authors: Ali Tabesh; Mikhail Teverovskiy; Ho-Yuen Pang; Vinay P Kumar; David Verbel; Angeliki Kotsianti; Olivier Saidi
Journal: IEEE Trans Med Imaging Date: 2007-10 Impact factor: 10.048

5. A new method for segmentation of colour images applied to immunohistochemically stained cell nuclei.

Authors: P Ranefall; L Egevad; B Nordin; E Bengtsson
Journal: Anal Cell Pathol Date: 1997 Impact factor: 2.916

5 in total

19 in total

1. Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks.

Authors: Anirudh Choudhary; Hang Wu; Li Tong; May D Wang
Journal: ACM BCB Date: 2019-09

2. Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.

Authors: Patrick Leo; George Lee; Natalie N C Shih; Robin Elliott; Michael D Feldman; Anant Madabhushi
Journal: J Med Imaging (Bellingham) Date: 2016-10-24

Review 10. Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review.

Authors: Fuyong Xing; Lin Yang
Journal: IEEE Rev Biomed Eng Date: 2016-01-06

Automatic batch-invariant color segmentation of histological cancer images.

1. Supervised learning-based cell image segmentation for p53 immunohistochemistry.

2. Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology.

3. Extraction of informative cell features by segmentation of densely clustered tissue images.

4. Multifeature prostate cancer diagnosis and Gleason grading of histological images.

5. A new method for segmentation of colour images applied to immunohistochemically stained cell nuclei.

1. Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks.

2. Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.

3. Feature-Based Representation Improves Color Decomposition and Nuclear Detection Using a Convolutional Neural Network.

Review 4. Multiscale integration of -omic, imaging, and clinical data in biomedical informatics.

5. Gland segmentation in prostate histopathological images.

6. Detection of Nuclei in H&E Stained Sections Using Convolutional Neural Networks.

7. Biological Interpretation of Morphological Patterns in Histopathological Whole-Slide Images.

8. Invariant delineation of nuclear architecture in glioblastoma multiforme for clinical and molecular association.

9. Removing batch effects from histopathological images for enhanced cancer diagnosis.

Review 10. Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review.