Research graph
References from XAI-ColoSegRec: An explainable optimization-guided deep learning framework for colorectal lesion segmentation and morphology-based clinical decision support. Local targets link to admitted publications; unresolved targets remain external evidence.
Global colorectal cancer incidence 2022
2024 · External reference
Colorectum fact sheet
2024 · External reference
Unresolved reference
2024 · External reference
Global burden of colorectal cancer in 2020 and 2040: incidence and mortality estimates from GLOBOCAN
10.1136/gutjnl-2022-327736 · 2023 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2025 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2024 · External reference
Focus U-Net: a novel dual attention-gated CNN for polyp segmentation during colonoscopy
10.1016/j.compbiomed.2021.104815 · 2021 · External reference
COTR: convolution in Transformer network for end-to-end polyp detection
2021 · External reference
AI support for colonoscopy quality control using CNN and transformer architectures
10.1186/s12876-024-03354-0 · 2024 · External reference
Focus U-Net: a novel dual attention-gated CNN for polyp segmentation during colonoscopy
10.1016/j.compbiomed.2021.104815 · 2021 · External reference
COTR: convolution in Transformer network for end-to-end polyp detection
2021 · External reference
Lightweight colon polyp segmentation algorithm based on improved DeepLabV3+
10.7150/jca.88684 · 2024 · External reference
An explainable centralized deep learning model for gastrointestinal polyp segmentation using the Kvasir-SEG dataset
2026 · External reference
IRv2-Net: a deep learning framework for enhanced polyp segmentation integrating InceptionResNetV2 and UNet with test-time augmentation
10.3390/s23187724 · 2023 · External reference
A high-sensitivity terahertz SPR biosensor with machine learning optimization for colorectal cancer detection
10.1016/j.mssp.2025.110064 · 2026 · External reference
10.3389/fonc.2025.1475893
10.3389/fonc.2025.1475893 · External reference
10.1109/icbats57792.2023.10111391
10.1109/icbats57792.2023.10111391 · External reference
CA-Net: comprehensive attention convolutional neural networks for explainable medical image segmentation
10.1109/tmi.2020.3035253 · 2021 · External reference
DRI-Net: segmentation of polyp in colonoscopy images using dense residual-inception network
10.3389/fphys.2023.1290820 · 2023 · External reference
Automatic polyp image segmentation and cancer prediction based on deep learning
10.3389/fonc.2022.1087438 · 2023 · External reference
Deep learning-based semantic segmentation for objective colonoscopy quality assessment
10.3390/jimaging11030084 · 2025 · External reference
FCN-Transformer feature fusion for polyp segmentation
2022 · External reference
An integrated architecture for colorectal polyp segmentation: the µ-net framework with explainable AI
10.3390/diagnostics15222890 · 2025 · External reference
SAMU-Net: a dual-stage polyp segmentation network with a custom attention-based U-net and segment anything model for enhanced mask prediction
10.1016/j.array.2024.100370 · 2024 · External reference
Enhancing colonoscopy image quality through multi-step computational pre-processing techniques
2025 · External reference
Deep learning based colorectal cancer detection in medical images: a comprehensive analysis of datasets, methods, and future directions
10.1016/j.clinimag.2025.110542 · 2025 · External reference
Modified DeepLabV3+ with multi-level context attention mechanism for colonoscopy polyp segmentation
10.1016/j.compbiomed.2024.108096 · 2024 · External reference
ColoRectalCADx: expeditious recognition of colorectal cancer with integrated CNNs and visual explanations using mixed dataset evidence
2022 · External reference
Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach
10.1038/s41598-025-86590-y · 2025 · External reference
High-frequency CSI300 spot and futures price predictions via the neural network
2025 · External reference
Late and early indica rice's price forecasts through neural networks
2025 · External reference
Machine learning coffee price predictions
2024 · External reference
Predictions of residential property price indices for China via machine learning models
10.1007/s11135-025-02080-3 · 2025 · External reference
A study of contemporaneous residential real estate price causation across major Jiangsu Province cities using vector error-correction models and directed acyclic graphs
10.1142/s308284142550008x · 2025 · External reference
A study of contemporaneous residential real estate price causation across major Guangdong Province cities using vector error-correction models and directed acyclic graphs
2026 · External reference
Corn cash price forecasting
10.1002/ajae.12041 · 2020 · External reference
Individual time series and composite forecasting of the Chinese stock index
2021 · External reference
Disordered MgB2 superconductor critical temperature modeling through regression trees
2022 · External reference
Solid particle erosion rate predictions through LSBoost
10.1016/j.powtec.2021.04.072 · 2021 · External reference
Modeling and prediction of lattice parameters of binary spinel compounds (AM2X4) using support vector regression with bayesian optimization
10.1039/d1nj01523k · 2021 · External reference
Retail property price index forecasting through neural networks
10.1080/10835547.2022.2110668 · 2023 · External reference
Yellow corn wholesale price forecasts via the neural network
10.1108/econ-05-2022-0026 · 2023 · External reference
High-frequency CSI300 futures trading volume predicting through the neural network
10.1108/ajeb-05-2022-0051 · 2024 · External reference
Lite-HRNet: a lightweight high-resolution network
2021 · External reference
Classification of breast masses using selected shape, edge-sharpness, and texture features with linear and kernel-based classifiers
10.1007/s10278-007-9102-z · 2008 · External reference
Recommender systems in the healthcare domain: state-of-the-art and research issues
10.1007/s10844-020-00633-6 · 2021 · External reference
A decision-tree-based recommender system
2010 · External reference
A novel healthy and time-aware food recommender system using attributed community detection
10.1016/j.eswa.2023.119719 · 2023 · External reference
Kvasir-SEG: a segmented polyp dataset
2020 · External reference
Unresolved reference
External reference
WM-DOVA maps for accurate polyp highlighting in colonoscopy: validation vs. saliency maps from physicians
10.1016/j.compmedimag.2015.02.007 · 2015 · External reference
Unresolved reference
2025 · External reference
Diagnosis of lung and colon cancer based on clinical pathology images using convolutional neural network and CLAHE framework
10.6703/ijase.202303_20(1).006 · 2023 · External reference
ResUNet++: an advanced architecture for medical image segmentation
2019 · External reference
DeepLabv3+-based segmentation and best features selection using slime mould algorithm for multi-class skin lesion classification
10.3390/math11020364 · 2023 · External reference
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
10.1109/access.2021.3063716 · 2021 · External reference
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
2024 · External reference
Explainable AI (XAI) in image segmentation in medicine, industry, and beyond: a survey
10.1016/j.icte.2024.09.008 · 2024 · External reference
Why should I trust you?': explaining the predictions of any classifier
2016 · External reference
A unified approach to interpreting model predictions
2017 · External reference
Learning deep features for discriminative localization
2016 · External reference
GeoDisasterAINet: an explainable deep ensemble framework for real-time urban and rural disaster classification and resilience
10.1109/access.2025.3574451 · 2025 · External reference
Boundary modelling and shape analysis methods for classification of mammographic masses
10.1007/bf02345742 · 2000 · External reference
A hybrid framework for colorectal cancer detection and U-net segmentation using polynetDWTCADx
10.1038/s41598-025-85156-2 · 2025 · External reference
CRCFusionAICADx: integrative CNN-LSTM approach for accurate colorectal cancer diagnosis in colonoscopy images
10.1007/s12559-024-10357-2 · 2025 · External reference
Enhancing colorectal cancer diagnosis with feature fusion and CNNs — the TumorDiagX framework
2024 · External reference
HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
10.1038/s41597-020-00622-y · 2020 · External reference
Corn cash price forecasting
10.1002/ajae.12041 · ExternalCitation · doi-reference
Boundary modelling and shape analysis methods for classification of mammographic masses
10.1007/bf02345742 · ExternalCitation · doi-reference
Classification of breast masses using selected shape, edge-sharpness, and texture features with linear and kernel-based classifiers
10.1007/s10278-007-9102-z · ExternalCitation · doi-reference
Recommender systems in the healthcare domain: state-of-the-art and research issues
10.1007/s10844-020-00633-6 · ExternalCitation · doi-reference
Predictions of residential property price indices for China via machine learning models
10.1007/s11135-025-02080-3 · ExternalCitation · doi-reference
CRCFusionAICADx: integrative CNN-LSTM approach for accurate colorectal cancer diagnosis in colonoscopy images
10.1007/s12559-024-10357-2 · ExternalCitation · doi-reference
SAMU-Net: a dual-stage polyp segmentation network with a custom attention-based U-net and segment anything model for enhanced mask prediction
10.1016/j.array.2024.100370 · ExternalCitation · doi-reference
Deep learning based colorectal cancer detection in medical images: a comprehensive analysis of datasets, methods, and future directions
10.1016/j.clinimag.2025.110542 · ExternalCitation · doi-reference
Focus U-Net: a novel dual attention-gated CNN for polyp segmentation during colonoscopy
10.1016/j.compbiomed.2021.104815 · ExternalCitation · doi-reference
Modified DeepLabV3+ with multi-level context attention mechanism for colonoscopy polyp segmentation
10.1016/j.compbiomed.2024.108096 · ExternalCitation · doi-reference
WM-DOVA maps for accurate polyp highlighting in colonoscopy: validation vs. saliency maps from physicians
10.1016/j.compmedimag.2015.02.007 · ExternalCitation · doi-reference
A novel healthy and time-aware food recommender system using attributed community detection
10.1016/j.eswa.2023.119719 · ExternalCitation · doi-reference
Explainable AI (XAI) in image segmentation in medicine, industry, and beyond: a survey
10.1016/j.icte.2024.09.008 · ExternalCitation · doi-reference
A high-sensitivity terahertz SPR biosensor with machine learning optimization for colorectal cancer detection
10.1016/j.mssp.2025.110064 · ExternalCitation · doi-reference
Solid particle erosion rate predictions through LSBoost
10.1016/j.powtec.2021.04.072 · ExternalCitation · doi-reference
HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
10.1038/s41597-020-00622-y · ExternalCitation · doi-reference
A hybrid framework for colorectal cancer detection and U-net segmentation using polynetDWTCADx
10.1038/s41598-025-85156-2 · ExternalCitation · doi-reference
Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach
10.1038/s41598-025-86590-y · ExternalCitation · doi-reference
Modeling and prediction of lattice parameters of binary spinel compounds (AM2X4) using support vector regression with bayesian optimization
10.1039/d1nj01523k · ExternalCitation · doi-reference
Retail property price index forecasting through neural networks
10.1080/10835547.2022.2110668 · ExternalCitation · doi-reference
High-frequency CSI300 futures trading volume predicting through the neural network
10.1108/ajeb-05-2022-0051 · ExternalCitation · doi-reference
Yellow corn wholesale price forecasts via the neural network
10.1108/econ-05-2022-0026 · ExternalCitation · doi-reference
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
10.1109/access.2021.3063716 · ExternalCitation · doi-reference
GeoDisasterAINet: an explainable deep ensemble framework for real-time urban and rural disaster classification and resilience
10.1109/access.2025.3574451 · ExternalCitation · doi-reference
10.1109/icbats57792.2023.10111391
10.1109/icbats57792.2023.10111391 · ExternalCitation · doi-reference
CA-Net: comprehensive attention convolutional neural networks for explainable medical image segmentation
10.1109/tmi.2020.3035253 · ExternalCitation · doi-reference
Global burden of colorectal cancer in 2020 and 2040: incidence and mortality estimates from GLOBOCAN
10.1136/gutjnl-2022-327736 · ExternalCitation · doi-reference
A study of contemporaneous residential real estate price causation across major Jiangsu Province cities using vector error-correction models and directed acyclic graphs
10.1142/s308284142550008x · ExternalCitation · doi-reference
AI support for colonoscopy quality control using CNN and transformer architectures
10.1186/s12876-024-03354-0 · ExternalCitation · doi-reference
Automatic polyp image segmentation and cancer prediction based on deep learning
10.3389/fonc.2022.1087438 · ExternalCitation · doi-reference
10.3389/fonc.2025.1475893
10.3389/fonc.2025.1475893 · ExternalCitation · doi-reference
DRI-Net: segmentation of polyp in colonoscopy images using dense residual-inception network
10.3389/fphys.2023.1290820 · ExternalCitation · doi-reference
An integrated architecture for colorectal polyp segmentation: the µ-net framework with explainable AI
10.3390/diagnostics15222890 · ExternalCitation · doi-reference
Deep learning-based semantic segmentation for objective colonoscopy quality assessment
10.3390/jimaging11030084 · ExternalCitation · doi-reference
DeepLabv3+-based segmentation and best features selection using slime mould algorithm for multi-class skin lesion classification
10.3390/math11020364 · ExternalCitation · doi-reference
IRv2-Net: a deep learning framework for enhanced polyp segmentation integrating InceptionResNetV2 and UNet with test-time augmentation
10.3390/s23187724 · ExternalCitation · doi-reference
Diagnosis of lung and colon cancer based on clinical pathology images using convolutional neural network and CLAHE framework
10.6703/ijase.202303_20(1).006 · ExternalCitation · doi-reference
Lightweight colon polyp segmentation algorithm based on improved DeepLabV3+
10.7150/jca.88684 · ExternalCitation · doi-reference
