FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer

No abstract is available for this paper.

• Publication year

  2019

• Venue

  Neural computing & applications (Print)

• Publication date

  2019-11-03

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1007/s00521-019-04516-y
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Automatic breast tumor detection in ABVS images based on convolutional neural network and superpixel patterns

  2019cited by this paper
• Lung cancer prediction using higher-order recurrent neural network based on glowworm swarm optimization

  2018cited by this paper
• EEG classification using sparse Bayesian extreme learning machine for brain–computer interface

  2018cited by this paper
• Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images

  2018cited by this paper
• SAMS-NET: Stain-aware multi-scale network for instance-based nuclei segmentation in histology images

  2018cited by this paper
• Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks

  2018cited by this paper
• Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

  2018cited by this paper
• A convolutional neural network model for semantic segmentation of mitotic events in microscopy images

  2018cited by this paper
• ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation

  2018cited by this paper
• Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images.

  2018cited by this paper
• Prognostic Effect of Lymphovascular Invasion on TNM Staging in Stage I Non–Small‐cell Lung Cancer

  2018cited by this paper
• Recurrent Spatial-Temporal Attention Network for Action Recognition in Videos

  2018cited by this paper
• MILD‐Net: Minimal information loss dilated network for gland instance segmentation in colon histology images

  2018cited by this paper
• Efficient deep learning model for mitosis detection using breast histopathology images

  2017cited by this paper
• DCAN: Deep contour‐aware networks for object instance segmentation from histology images

  2017cited by this paper
• Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

  2017cited by this paper
• Lymphovascular and perineural invasion are associated with poor prognostic features and outcomes in colorectal cancer: A retrospective cohort study.

  2017cited by this paper
• Mask R-CNN

  2017cited by this paper
• RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation

  2016cited by this paper
• Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

  2016cited by this paper
• Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

  2016cited by this paper
• Xception: Deep Learning with Depthwise Separable Convolutions

  2016cited by this paper
• DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

  2016cited by this paper
• Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

  2016cited by this paper
• A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images

  2016cited by this paper
• Aggregated Residual Transformations for Deep Neural Networks

  2016cited by this paper
• Gland Instance Segmentation Using Deep Multichannel Neural Networks

  2016cited by this paper
• SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

  2015cited by this paper
• Deep Learning

  2015cited by this paper
• U-Net: Convolutional Networks for Biomedical Image Segmentation

  2015cited by this paper
• Attention to Scale: Scale-Aware Semantic Image Segmentation

  2015cited by this paper
• Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images

  2015cited by this paper
• Recurrent Models of Visual Attention

  2014cited by this paper
• ImageNet Large Scale Visual Recognition Challenge

  2014cited by this paper
• Perineural invasion in cancer

  2009cited by this paper
• Perineural invasion is an independent predictor of outcome in colorectal cancer.

  2009cited by this paper
• Angiogenesis in Cancer

  2006cited by this paper
• Computer Vision – ECCV 2006

  2006cited by this paper
• Perineural and vascular invasion in oral cavity squamous carcinoma: increased incidence on re-review of slides and by using immunohistochemical enhancement.

  2005cited by this paper
• IEEE conference on computer vision and pattern recognition

  2000cited by this paper
• Updating Models and Their Uncertainties. I: Bayesian Statistical Framework

  1998cited by this paper
• Microvessel density is a prognostic indicator for patients with astroglial brain tumors

  1996cited by this paper

• IHC-DualNet: a dual-branch graph-based architecture for interpretable and precise immunohistochemistry tissue segmentation

  2025cites this paper
• A Comparative Analysis of SegFormer, FabE-Net and VGG-UNet Models for the Segmentation of Neural Structures on Histological Sections

  2025influential citation
• Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation

  2025cites this paper
• Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images

  2025cites this paper
• gamUnet: designing global attention-based CNN architectures for enhanced oral cancer detection and segmentation

  2025cites this paper
• Applying machine learning to assist in the morphometric assessment of brain arteriolosclerosis through automation

  2025cites this paper
• High Performance Deep Learning Convolutional Neural Network Model for Automatic Classification of Oral Cancer

  2025cites this paper
• AFINITI: attention-aware feature integration for nuclei instance segmentation and type identification

  2024cites this paper
• A-ReSEUnet: Achieve no-label binary segmentation of nuclei in histology images

  2024cites this paper
• Harnessing Artificial Intelligence for Predictive Modelling in Oral Oncology: Opportunities, Challenges, and Clinical Perspectives

  2024cites this paper
• Active phase recognition method of hydrogenation catalyst based on multi-feature fusion Mask CenterNet

  2024cites this paper
• From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images

  2024cites this paper
• Benefits of spatial uncertainty aggregation for segmentation in digital pathology

  2024cites this paper
• Deep learning in oral cancer- a systematic review

  2024cites this paper
• Estimating Uncertainty in Deep Learning Methods and Applications

  2024cites this paper
• Examination of H&E-stained Oral Cavity-Derived Cancer Image: A Study using UDL-Model

  2024cites this paper
• Prediction of PD-L1 tumor positive score in lung squamous cell carcinoma with H&E staining images and deep learning

  2024cites this paper
• Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering

  2024cites this paper
• Application of quantitative histomorphometric features in computational pathology

  2024cites this paper
• PI-YOLO: dynamic sparse attention and lightweight convolutional based YOLO for vessel detection in pathological images

  2024cites this paper
• Artificial intelligence for digital and computational pathology

  2023cites this paper
• Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images

  2023cites this paper
• Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images

  2023cites this paper
• A digital score of peri‐epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia

  2023cites this paper
• The Role of AI in “Oral Cancer” Detection: A Systematic Review and Future Perspective

  2023cites this paper
• Duck Pack Optimization With Deep Transfer Learning-Enabled Oral Squamous Cell Carcinoma Classification on Histopathological Images

  2023cites this paper
• Nuclei probability and centroid map network for nuclei instance segmentation in histology images

  2023cites this paper
• Establishment of a Machine Learning Model for the Risk Assessment of Perineural Invasion in Head and Neck Squamous Cell Carcinoma

  2023cites this paper
• Application and Performance of Artificial Intelligence (AI) in Oral Cancer Diagnosis and Prediction Using Histopathological Images: A Systematic Review

  2023cites this paper
• AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification

  2023cites this paper
• Artificial Intelligence Assists in the Detection of Blood Vessels in Whole Slide Images: Practical Benefits for Oncological Pathology

  2023cites this paper
• Generalisation and reliability of deep learning for digital pathology in a clinical setting

  2023cites this paper
• OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation

  2023cites this paper
• Vision Transformers in medical computer vision - A contemplative retrospection

  2023cites this paper
• Multi-encoder U-Net for Oral Squamous Cell Carcinoma Image Segmentation

  2022cites this paper
• Nuclei and glands instance segmentation in histology images: a narrative review

  2022cites this paper
• HistoSeg: Quick attention with multi-loss function for multi-structure segmentation in digital histology images

  2022cites this paper
• Supremacy of attention based convolution neural network in classification of oral cancer using histopathological images

  2022cites this paper
• Expectation-maximization algorithm leads to domain adaptation for a perineural invasion and nerve extraction task in whole slide digital pathology images

  2022cites this paper
• A survey on artificial intelligence in histopathology image analysis

  2022cites this paper
• Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology

  2022cites this paper
• Vision Transformers in Medical Computer Vision - A Contemplative Retrospection

  2022cites this paper
• AI-based Carcinoma Detection and Classification Using Histopathological Images: A Systematic Review

  2022influential citation
• One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

  2022cites this paper
• An Enhanced Histopathology Analysis: An AI-Based System for Multiclass Grading of Oral Squamous Cell Carcinoma and Segmenting of Epithelial and Stromal Tissue

  2021cites this paper
• DGFAU-Net: Global feature attention upsampling network for medical image segmentation

  2021cites this paper
• Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles

  2021cites this paper
• Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology

  2021cites this paper
• Application of Dual-Channel Convolutional Neural Network Algorithm in Semantic Feature Analysis of English Text Big Data

  2021cites this paper
• Deep multiple-instance learning for abnormal cell detection in cervical histopathology images

  2021cites this paper
• Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification

  2021cites this paper
• MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

  2021cites this paper
• Feature Attention Network for Simultaneous Nuclei Instance Segmentation and Classification in Histology Images

  2021cites this paper
• Multiscale Unified Network for Simultaneous Segmentation of Nerves and Micro-vessels in Histology Images

  2021cites this paper
• Attention Based Residual Network for Effective Detection of COVID-19 and Viral Pneumonia

  2021cites this paper
• Multiscale Dilated UNet for Segmentation of Multi-Organ Nuclei in Digital Histology Images

  2020cites this paper
• Use of artificial intelligence in diagnosis of head and neck precancerous and cancerous lesions: A systematic review.

  2020cites this paper
• Multi-Task Learning in Histo-pathology for Widely Generalizable Model

  2020influential citation
• Deep Learning-Based Pixel-Wise Lesion Segmentation on Oral Squamous Cell Carcinoma Images

  2020cites this paper