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A Hybrid Convolutional Neural Network with Meta Feature Learning for Abnormality Detection in Wireless Capsule Endoscopy Images
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-00934-2_69openalex-extracted
RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection
inferredcites →https://doi.org/10.1007/978-3-030-01418-6_38openalex-extracted
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
inferredcites →https://doi.org/10.1007/978-3-030-32239-7_33openalex-extracted
Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification
inferredcites →https://doi.org/10.1007/s00500-021-06546-yopenalex-extracted
Dilated CNN for abnormality detection in wireless capsule endoscopy images
inferredcites →https://doi.org/10.1007/s11042-020-09605-yopenalex-extracted
Automated bleeding detection in wireless capsule endoscopy images based on sparse coding
inferredcites →https://doi.org/10.1007/s11760-021-01951-0openalex-extracted
DCT-based medical image compression using machine learning
inferredcites →https://doi.org/10.1016/b978-0-08-102816-2.00020-4openalex-extracted
AI and retinal image analysis at Baidu
inferredcites →https://doi.org/10.1016/j.compbiomed.2016.10.011openalex-extracted
Generic feature learning for wireless capsule endoscopy analysis
inferredcites →https://doi.org/10.1016/j.compbiomed.2020.104094openalex-extracted
Detection of abnormality in wireless capsule endoscopy images using fractal features
inferredcites →https://doi.org/10.1016/j.compbiomed.2021.104789openalex-extracted
A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images
inferredcites →https://doi.org/10.1016/j.compmedimag.2015.02.007openalex-extracted
WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians
inferredcites →https://doi.org/10.1016/j.compmedimag.2020.101852openalex-extracted
Deep transfer learning approaches for bleeding detection in endoscopy images
inferredcites →https://doi.org/10.1016/j.yebeh.2021.108548openalex-extracted
Supervised machine learning to predict reduced depression severity in people with epilepsy through epilepsy self-management intervention
inferredcites →https://doi.org/10.1038/s41597-021-00920-zopenalex-extracted
Kvasir-Capsule, a video capsule endoscopy dataset
inferredcites →https://doi.org/10.1055/s-0043-105488openalex-extracted
KID Project: an internet-based digital video atlas of capsule endoscopy for research purposes
inferredcites →https://doi.org/10.1109/access.2019.2901568openalex-extracted
Deep Convolutional Neural Networks for WCE Abnormality Detection: CNN Architecture, Region Proposal and Transfer Learning
inferredcites →https://doi.org/10.1109/access.2021.3061592openalex-extracted
Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model
inferredcites →https://doi.org/10.1109/ccece.2013.6567779openalex-extracted
Bleeding detection in wireless capsule endoscopy based on color features from histogram probability
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-extracted
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/cvpr.2017.683openalex-extracted
Residual Attention Network for Image Classification
inferredcites →https://doi.org/10.1109/embc.2016.7590783openalex-extracted
A deep convolutional neural network for bleeding detection in Wireless Capsule Endoscopy images
inferredcites →https://doi.org/10.1109/ist.2016.7738279openalex-extracted
Weakly-supervised Convolutional learning for detection of inflammatory gastrointestinal lesions
inferredcites →https://doi.org/10.1109/jbhi.2015.2399502openalex-extracted
Bleeding Frame and Region Detection in the Wireless Capsule Endoscopy Video
inferredcites →https://doi.org/10.1109/tase.2015.2395429openalex-extracted
Improved Bag of Feature for Automatic Polyp Detection in Wireless Capsule Endoscopy Images
inferredcites →https://doi.org/10.1109/tase.2019.2936645openalex-extracted
Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition
inferredcites →https://doi.org/10.1109/tcds.2021.3064228openalex-extracted
Epileptic Classification With Deep-Transfer-Learning-Based Feature Fusion Algorithm
inferredcites →https://doi.org/10.1109/tmi.2018.2837002openalex-extracted
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification
inferredcites →https://doi.org/10.1109/tmi.2020.3010102openalex-extracted
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification
inferredcites →https://doi.org/10.1109/wacv.2018.00162openalex-extracted
Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery
inferredcites →https://doi.org/10.1586/17474124.2014.952281openalex-extracted
Optimizing lesion detection in small-bowel capsule endoscopy: from present problems to future solutions
inferredcites →https://doi.org/10.3390/diagnostics12010043openalex-extracted
Hybrid Deep Learning Model for Endoscopic Lesion Detection and Classification Using Endoscopy Videos
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-79029-4_23openalex-snapshot
Detection of Pathological Regions of the Gastrointestinal Tract in Capsule Images Using EfficientNetV2 and YOLOv8
inferred← citeshttps://doi.org/10.1007/s11042-023-18039-1openalex-snapshot
ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific attention mechanism
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106396openalex-snapshot
Multi-module attention-guided deep learning framework for precise gastrointestinal disease identification in endoscopic imagery
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106634openalex-snapshot
DPCTN: Dual path context-aware transformer network for medical image segmentation
inferred← citeshttps://doi.org/10.1109/nmitcon65824.2025.11188432openalex-snapshot
An Enhanced Hybrid Approach for Colon Cancer Detection & Classification
inferred← citeshttps://doi.org/10.1109/pais56586.2022.9946892openalex-snapshot
Abnormalities Classification in WCE Images Using Pretrained Deep Learning Networks
inferred← citeshttps://doi.org/10.1109/smartgencon56628.2022.10083766openalex-snapshot
A Study on Gastric Tract Infections Detection and Classification from Wireless Capsule Endoscopy (WCE) Imaging
inferred← citeshttps://doi.org/10.18280/ria.370121openalex-snapshot
Feature Extraction and Classification Techniques for Wireless Endoscopy Images: A Review
inferred← citeshttps://doi.org/10.51583/ijltemas.2025.140400075openalex-snapshot
A Combined Framework for Medical Image Classification and Detection of Brain Abnormalities Utilizing K-Nearest Neighbors and an Enhanced Convolutional Neural Network
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