Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation
出版年份 2022 全文链接
标题
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation
作者
关键词
-
出版物
ARTIFICIAL INTELLIGENCE IN MEDICINE
Volume 133, Issue -, Pages 102407
出版商
Elsevier BV
发表日期
2022-09-24
DOI
10.1016/j.artmed.2022.102407
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- (2022) Hao Gong et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- A Weakly Supervised Deep Learning Method for Guiding Ovarian Cancer Treatment and Identifying an Effective Biomarker
- (2022) Ching-Wei Wang et al. Cancers
- A Review of Deep-Learning-Based Medical Image Segmentation Methods
- (2021) Xiangbin Liu et al. Sustainability
- A survey of deep learning models in medical therapeutic areas
- (2021) Alberto Nogales et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Deep Multi-Magnification Networks for multi-class breast cancer image segmentation
- (2021) David Joon Ho et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Fine-Tuning and Training of DenseNet for Histopathology Image Representation Using TCGA Diagnostic Slides
- (2021) Abtin Riasatian et al. MEDICAL IMAGE ANALYSIS
- A Hybrid-Attention Nested UNet for Nuclear Segmentation in Histopathological Images
- (2021) Hongliang He et al. Frontiers in Molecular Biosciences
- EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images
- (2021) Van-Truong Pham et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Colorectal Histology Tumor Detection Using Ensemble Deep Neural Network
- (2021) Sourodip Ghosh et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Deep Learning Fast Screening Approach on Cytological Whole Slides for Thyroid Cancer Diagnosis
- (2021) Yi-Jia Lin et al. Cancers
- DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images
- (2021) Felipe André Zeiser et al. EXPERT SYSTEMS WITH APPLICATIONS
- Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks
- (2020) Jiawen Yao et al. MEDICAL IMAGE ANALYSIS
- Enhancing U-Net with Spatial-Channel Attention Gate for Abnormal Tissue Segmentation in Medical Imaging
- (2020) Trinh Le Ba Khanh et al. Applied Sciences-Basel
- Deep neural network models for computational histopathology: A survey
- (2020) Chetan L. Srinidhi et al. MEDICAL IMAGE ANALYSIS
- Attention gated networks: Learning to leverage salient regions in medical images
- (2019) Jo Schlemper et al. MEDICAL IMAGE ANALYSIS
- Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features
- (2019) Talha Qaiser et al. MEDICAL IMAGE ANALYSIS
- Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
- (2019) Jakob Nikolas Kather et al. NATURE MEDICINE
- A Multi-Organ Nucleus Segmentation Challenge
- (2019) Neeraj Kumar et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation
- (2018) Holger R. Roth et al. MEDICAL IMAGE ANALYSIS
- Deep learning based tissue analysis predicts outcome in colorectal cancer
- (2018) Dmitrii Bychkov et al. Scientific Reports
- Machine Learning Methods for Histopathological Image Analysis
- (2018) Daisuke Komura et al. Computational and Structural Biotechnology Journal
- Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers
- (2018) Mahendra Khened et al. MEDICAL IMAGE ANALYSIS
- MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
- (2018) Simon Graham et al. MEDICAL IMAGE ANALYSIS
- Gland Instance Segmentation Using Deep Multichannel Neural Networks
- (2017) Yan Xu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Gland segmentation in colon histology images: The glas challenge contest
- (2017) Korsuk Sirinukunwattana et al. MEDICAL IMAGE ANALYSIS
- Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization
- (2017) Philipp Kainz et al. PeerJ
- Collaborative analysis of multi-gigapixel imaging data using Cytomine
- (2016) Raphaël Marée et al. BIOINFORMATICS
- Multi-class texture analysis in colorectal cancer histology
- (2016) Jakob Nikolas Kather et al. Scientific Reports
- Weakly supervised histopathology cancer image segmentation and classification
- (2014) Yan Xu et al. MEDICAL IMAGE ANALYSIS
- Automatic segmentation of colon glands using object-graphs
- (2009) Cigdem Gunduz-Demir et al. MEDICAL IMAGE ANALYSIS
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