ArticleACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine2012
Biological Interpretation of Morphological Patterns in Histopathological Whole-Slide Images.
Article in ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Artificial intelligence in ovarian cancer histopathology: a systematic review.NPJ precision oncology · 2023Review
- COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks.IEEE journal of biomedical and health informatics · 2021Article
- Generating Region of Interests for Invasive Breast Cancer in Histopathological Whole-Slide-Image.Proceedings : Annual International Computer Software and Applications Conference. COMPSAC · 2020Article
- Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches.Frontiers in neuroscience · 2020Article
- Fusion in Breast Cancer Histology Classification.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2019Article
- Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2019Article
- Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-Scale Convolutional Neural Networks.Proceedings : Annual International Computer Software and Applications Conference. COMPSAC · 2019Article
- Feature-Based Representation Improves Color Decomposition and Nuclear Detection Using a Convolutional Neural Network.IEEE transactions on bio-medical engineering · 2018Article
- Article
- Predicting Heart Rejection Using Histopathological Whole-Slide Imaging and Deep Neural Network with Dropout.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2017Article
- Detection of Nuclei in H&E Stained Sections Using Convolutional Neural Networks.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2017Article
- When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections.Medical image analysis · 2017Article
- Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2016Article
- PHENOTYPIC CHARACTERIZATION OF BREAST INVASIVE CARCINOMA VIA TRANSFERABLE TISSUE MORPHOMETRIC PATTERNS LEARNED FROM GLIOBLASTOMA MULTIFORME.Proceedings. IEEE International Symposium on Biomedical Imaging · 2016Article
- Invasive ductal breast carcinoma detector that is robust to image magnification in whole digital slides.Journal of medical imaging (Bellingham, Wash.) · 2016Article
- A robust nonlinear tissue-component discrimination method for computational pathology.Laboratory investigation; a journal of technical methods and pathology · 2016Article
- Integration of Multi-Modal Biomedical Data to Predict Cancer Grade and Patient Survival.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2016Article
- Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies.BMC bioinformatics · 2015Article
- Assessment of tumour viability in human lung cancer xenografts with texture-based image analysis.Journal of clinical pathology · 2015Article
- Stacked Predictive Sparse Decomposition for Classification of Histology Sections.International journal of computer vision · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We propose a framework for studying visual morphological patterns across histopathological whole-slide images (WSIs). Image representation is an important component of computer-aided decision support systems for histopathological cancer diagnosis. Such systems extract hundreds of quantitative image features from digitized tissue biopsy slides and produce models for prediction. The performance of these models depends on the identification of informative features for selection of appropriate regions-of-interest (ROIs) from heterogeneous WSIs and for development of models. However, identification of informative features is hindered by the semantic gap between human interpretation of visual morphological patterns and quantitative image features. We address this challenge by using data mining and information visualization tools to study spatial patterns formed by features extracted from sub-sections of WSIs. Using ovarian serous cystadenocarcinoma (OvCa) WSIs provided by the cancer genome atlas (TCGA), we show that (1) individual and (2) multivariate image features correspond to biologically relevant ROIs, and (3) supervised image feature selection can map histopathology domain knowledge to quantitative image features.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.