A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images
出版年份 2020 全文链接
标题
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images
作者
关键词
Liver cancer segmentation, Multi-task learning, Ensemble learning, Digital pathology
出版物
MEDICAL IMAGE ANALYSIS
Volume 68, Issue -, Pages 101914
出版商
Elsevier BV
发表日期
2020-11-25
DOI
10.1016/j.media.2020.101914
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images
- (2019) Zichao Guo et al. Scientific Reports
- Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features
- (2019) Talha Qaiser et al. MEDICAL IMAGE ANALYSIS
- Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
- (2019) Gabriele Campanella et al. NATURE MEDICINE
- Multi-proportion channel ensemble model for retinal vessel segmentation
- (2019) Peng Tang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Deep learning-based classification of mesothelioma improves prediction of patient outcome
- (2019) Pierre Courtiol et al. NATURE MEDICINE
- High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
- (2018) Angel Cruz-Roa et al. PLoS One
- Machine Learning Methods for Histopathological Image Analysis
- (2018) Daisuke Komura et al. Computational and Structural Biotechnology Journal
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images
- (2018) Hongwei Li et al. NEUROIMAGE
- Large-scale tissue histopathology image segmentation based on feature pyramid
- (2018) Pinle Qin et al. EURASIP Journal on Image and Video Processing
- MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
- (2018) Simon Graham et al. MEDICAL IMAGE ANALYSIS
- A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer
- (2018) Mohammed M. Abdelsamea et al. EXPERT SYSTEMS WITH APPLICATIONS
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
- (2017) Konstantinos Kamnitsas et al. MEDICAL IMAGE ANALYSIS
- Deep Learning in Microscopy Image Analysis: A Survey
- (2017) Fuyong Xing et al. IEEE Transactions on Neural Networks and Learning Systems
- Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images
- (2017) Ruqayya Awan et al. Scientific Reports
- AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images
- (2016) Shadi Albarqouni et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Image analysis and machine learning in digital pathology: Challenges and opportunities
- (2016) Anant Madabhushi et al. MEDICAL IMAGE ANALYSIS
- Histopathology of hepatocellular carcinoma
- (2016) Manuel Schlageter et al. WORLD JOURNAL OF GASTROENTEROLOGY
- Automated analysis and diagnosis of skin melanoma on whole slide histopathological images
- (2015) Cheng Lu et al. PATTERN RECOGNITION
- Weakly supervised histopathology cancer image segmentation and classification
- (2014) Yan Xu et al. MEDICAL IMAGE ANALYSIS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started