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Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Application of Artificial Intelligence in Capsule Endoscopy: Where Are We Now?
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Deep Learning-Based Earlier Detection of Esophageal Cancer Using Improved Empirical Wavelet Transform From Endoscopic Image
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ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning
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Multichannel Residual Cues for Fine-Grained Classification in Wireless Capsule Endoscopy
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Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions
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Classification of Skin Lesion With Features Extraction Using Quantum Chebyshev Polynomials and Autoencoder From Wavelet-Transformed Images
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Gastrointestinal Tract Disease Classification Using Residual-Inception Transformer With Wireless Capsule Endoscopy Images Segmentation
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Classification of Video Capsule Endoscopy Images Using Visual Transformers
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Towards the Substitution of Real with Artificially Generated Endoscopic Images for CNN Training
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Thick Data Techniques for Identifying Abnormality in Video Frames for Wireless Capsule Endoscopy
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A Dilated Convolutional Approach for Inflammatory Lesion Detection Using Multi-Scale Input Feature Fusion (Workshop Paper)
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Enhanced CNN-Based Gaze Estimation on Wireless Capsule Endoscopy Images
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Bleeding Region Segmentation in Wireless Capsule Endoscopy Images by a Deep Learning Model: Initial Learning Rate and Epoch Optimization
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Intestinal Polyps Recognition Based on Annular Spatial Pyramid Matching with Locality-Constrained Linear Coding for Gastroscopy Diagnosis
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Gastrointestinal Disease Diagnosis with Hybrid Model of Capsules and CNNs
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Bleeding Region Segmentation in Wireless Capsule Endoscopy Images by K-Mean Clustering Technique
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Collaborative Segmentation Model for Colonoscopy Ulcers based on Fuzzy Labeling*
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Design and Integration of Artificial Intelligence in Laparoscopy for Enhanced Visualisation
inferred← citeshttps://doi.org/10.1109/icccbda49378.2020.9095753openalex-snapshot
Image Classification to Diagnose Chronic Atrophic Gastritis Based on Squeeze-and-Excitation Block
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A Survey on Object Detection, Annotation and Anomaly Detection Methods for Endoscopic Videos
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Self-Aware AI-Based Anomaly Detection for AI IoT Enabled Smart Healthcare System
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Unsupervised Pose Anomaly Detection for Dynamic Robotic Environments
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MonoSOD: Monocular Salient Object Detection based on Predicted Depth
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CS-GANomaly: A Supervised Anomaly Detection Approach with Ancillary Classifier GANs for Chromosome Images
inferred← citeshttps://doi.org/10.1109/ijcnn.2019.8852033openalex-snapshot
Efficient Learning Rate Adaptation for Convolutional Neural Network Training
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Detection and Classification of GI-Tract Anomalies from Endoscopic Images Using Deep Learning
inferred← citeshttps://doi.org/10.1109/iros45743.2020.9340750openalex-snapshot
Diagnose like a Clinician: Third-order Attention Guided Lesion Amplification Network for WCE Image Classification
inferred← citeshttps://doi.org/10.1109/jbhi.2020.2983126openalex-snapshot
SCNET: A Novel UGI Cancer Screening Framework Based on Semantic-Level Multimodal Data Fusion
inferred← citeshttps://doi.org/10.1109/jcsse58229.2023.10202003openalex-snapshot
A Comparative Study on Out of Scope Detection for Chest X-ray Images
inferred← citeshttps://doi.org/10.1109/jproc.2019.2950506openalex-snapshot
Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition
inferred← citeshttps://doi.org/10.1109/jproc.2021.3052449openalex-snapshot
A Unifying Review of Deep and Shallow Anomaly Detection
inferred← citeshttps://doi.org/10.1109/jsen.2022.3211981openalex-snapshot
Automated Detection System Based on Convolution Neural Networks for Retained Root, Endodontic Treated Teeth, and Implant Recognition on Dental Panoramic Images
inferred← citeshttps://doi.org/10.1109/mcsi63438.2024.00029openalex-snapshot
Interpretable Medical Image Diagnosis Methodology using Convolutional Neural Networks and Bayesian Networks
inferred← citeshttps://doi.org/10.1109/ojemb.2023.3277219openalex-snapshot
Gastric Section Correlation Network for Gastric Precancerous Lesion Diagnosis
inferred← citeshttps://doi.org/10.1109/smc53654.2022.9945092openalex-snapshot
Towards the Interpretation of Convolutional Neural Networks for Image Classification Using Fuzzy Sets
inferred← citeshttps://doi.org/10.1109/tafe.2024.3444730openalex-snapshot
Adaptive Feature-Based Plant Recognition
inferred← citeshttps://doi.org/10.1109/tai.2021.3135797openalex-snapshot
Perturbed Composite Attention Model for Macular Optical Coherence Tomography Image Classification
inferred← citeshttps://doi.org/10.1109/tap.2026.3669608openalex-snapshot
AI-Enhanced Wearable Antenna System for Wireless Capsule Endoscope Localization in Heterogeneous Environments
inferred← citeshttps://doi.org/10.1109/tase.2019.2936645openalex-snapshot
Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition
inferred← citeshttps://doi.org/10.1109/tcbb.2023.3234100openalex-snapshot
Morphological Rule-Constrained Object Detection of Key Structures in Infant Fundus Image
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3277462openalex-snapshot
Vision Transformer With Hybrid Shifted Windows for Gastrointestinal Endoscopy Image Classification
inferred← citeshttps://doi.org/10.1109/tim.2024.3481568openalex-snapshot
RSS-Based Machine-Learning-Assisted Localization and Tracking of a Wireless Capsule Endoscope
inferred← citeshttps://doi.org/10.1109/tip.2024.3431451openalex-snapshot
MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation
inferred← citeshttps://doi.org/10.1109/tmi.2019.2962792openalex-snapshot
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images
inferred← citeshttps://doi.org/10.1109/tmi.2020.3010102openalex-snapshot
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification
inferred← citeshttps://doi.org/10.1109/tmi.2021.3083586openalex-snapshot
DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation With Endoscope Images
inferred← citeshttps://doi.org/10.1109/tmi.2022.3150435openalex-snapshot
A Source-Free Domain Adaptive Polyp Detection Framework With Style Diversification Flow
inferred← citeshttps://doi.org/10.1109/tmi.2023.3320151openalex-snapshot
CoInNet: A Convolution-Involution Network With a Novel Statistical Attention for Automatic Polyp Segmentation
inferred← citeshttps://doi.org/10.1109/tmm.2021.3065232openalex-snapshot
Multilevel Anomaly Detection Through Variational Autoencoders and Bayesian Models for Self-Aware Embodied Agents
inferred← citeshttps://doi.org/10.1109/wincom59760.2023.10322944openalex-snapshot
ConV-ViT: Feature Fusion-based Detection of Gastrointestinal Abnormalities using CNN and ViT in WCE Images
inferred← citeshttps://doi.org/10.1109/wincom62286.2024.10655022openalex-snapshot
VGG16U-Net with Attention Based Semantic Segmentation of Gastrointestinal Abnormalities
inferred← citeshttps://doi.org/10.1111/den.13517openalex-snapshot
Clinical usefulness of a deep learning‐based system as the first screening on small‐bowel capsule endoscopy reading
inferred← citeshttps://doi.org/10.1111/den.13520openalex-snapshot
Standing‐type magnetically guided capsule endoscopy versus gastroscopy for gastric examination: multicenter blinded comparative trial
inferred← citeshttps://doi.org/10.1111/jgh.16369openalex-snapshot
Comparison of clinical utility of deep learning‐based systems for small‐bowel capsule endoscopy reading
inferred← citeshttps://doi.org/10.1136/bmjgast-2021-000753openalex-snapshot
Deep learning and capsule endoscopy: automatic identification and differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network
inferred← citeshttps://doi.org/10.1145/3336191.3371876openalex-snapshot
Deep Learning for Anomaly Detection
inferred← citeshttps://doi.org/10.1145/3354031.3354046openalex-snapshot
Computer Aided Annotation of Early Esophageal Cancer in Gastroscopic Images based on Deeplabv3+ Network
inferred← citeshttps://doi.org/10.1145/3544793.3560408openalex-snapshot
Anomaly Detection based on Broad Leaning System for Rolling Element Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1145/3797868openalex-snapshot
Quaternion Image Enhancements with Classifier Ensembles for Gastrointestinal Disorder Detection and Resiliency to Contrast Degradation Adversarial Attack
inferred← citeshttps://doi.org/10.1186/s12885-021-08190-zopenalex-snapshot
Medical needs related to the endoscopic technology and colonoscopy for colorectal cancer diagnosis
inferred← citeshttps://doi.org/10.1186/s12938-023-01186-9openalex-snapshot
Wireless capsule endoscopy multiclass classification using three-dimensional deep convolutional neural network model
inferred← citeshttps://doi.org/10.1186/s40001-025-02718-wopenalex-snapshot
A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract
inferred← citeshttps://doi.org/10.18280/ijsse.110611openalex-snapshot
Detection and Localization of Anamoly in Videos Using Fruit Fly Optimization-Based Self Organized Maps
inferred← citeshttps://doi.org/10.18280/ria.370121openalex-snapshot
Feature Extraction and Classification Techniques for Wireless Endoscopy Images: A Review
inferred← citeshttps://doi.org/10.18280/ria.370326openalex-snapshot
Deep Learning Architectures for Abnormality Detection in Endoscopy Videos
inferred← citeshttps://doi.org/10.21037/dmr-20-162openalex-snapshot
A narrative review of recent progress and current perspectives on video capsule endoscopy
inferred← citeshttps://doi.org/10.2139/ssrn.5012683openalex-snapshot
Kar-Danet: A Kolmogorov-Arnold Residual Deformable Attention Network for Colorectal Lesion Classification in Endoscopic Images
inferred← citeshttps://doi.org/10.3233/jifs-189327openalex-snapshot
FRFCM clustering segmentation method for medical MR image feature diagnosis
inferred← citeshttps://doi.org/10.3233/jifs-213099openalex-snapshot
Machine learning techniques to detect bleeding frame and area in wireless capsule endoscopy video
inferred← citeshttps://doi.org/10.32604/cmc.2021.013217openalex-snapshot
A Blockchain based Framework for Stomach Abnormalities Recognition
inferred← citeshttps://doi.org/10.32604/cmc.2021.014983openalex-snapshot
Multiclass Stomach Diseases Classification Using Deep Learning Features Optimization
inferred← citeshttps://doi.org/10.33545/27076571.2022.v3.i2a.56openalex-snapshot
A comparitive analysis of mobilenet and xception architecture for classification of endoscopy images
inferred← citeshttps://doi.org/10.3389/fmed.2024.1349373openalex-snapshot
Explainable AI-driven model for gastrointestinal cancer classification
inferred← citeshttps://doi.org/10.3389/fonc.2023.1151257openalex-snapshot
A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI
inferred← citeshttps://doi.org/10.3390/a15100339openalex-snapshot
Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data
inferred← citeshttps://doi.org/10.3390/app13116582openalex-snapshot
A Review of Medical Diagnostic Video Analysis Using Deep Learning Techniques
inferred← citeshttps://doi.org/10.3390/biomedicines10092195openalex-snapshot
A Robust Deep Model for Classification of Peptic Ulcer and Other Digestive Tract Disorders Using Endoscopic Images
inferred← citeshttps://doi.org/10.3390/diagnostics11071192openalex-snapshot
Role of Artificial Intelligence in Video Capsule Endoscopy
inferred← citeshttps://doi.org/10.3390/diagnostics11081373openalex-snapshot
Deep Learning Application for Analyzing of Constituents and Their Correlations in the Interpretations of Medical Images
inferred← citeshttps://doi.org/10.3390/diagnostics11112139openalex-snapshot
Small-Bowel Capsule Endoscopy—Optimizing Capsule Endoscopy in Clinical Practice
inferred← citeshttps://doi.org/10.3390/diagnostics12102316openalex-snapshot
A Novel Multi-Feature Fusion Method for Classification of Gastrointestinal Diseases Using Endoscopy Images
inferred← citeshttps://doi.org/10.3390/diagnostics14182072openalex-snapshot
A Comprehensive Review of Artificial Intelligence and Colon Capsule Endoscopy: Opportunities and Challenges
inferred← citeshttps://doi.org/10.37126/aige.v1.i2.33openalex-snapshot
Understanding deep learning in capsule endoscopy: Can artificial intelligence enhance clinical practice?
inferred← citeshttps://doi.org/10.3991/ijoe.v20i06.45773openalex-snapshot
A Robust Approach for Ulcer Classification/Detection in WCE Images
inferred← citeshttps://doi.org/10.4103/singaporemedj.smj-2023-187openalex-snapshot
Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution
inferred← citeshttps://doi.org/10.4236/etsn.2021.102003openalex-snapshot
Unified Analysis Specific to the Medical Field in the Interpretation of Medical Images through the Use of Deep Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1901.03407openalex-snapshot
Deep Learning for Anomaly Detection: A Survey
inferred← citeshttps://doi.org/10.48550/arxiv.2006.13662openalex-snapshot
Labelling unlabelled videos from scratch with multi-modal self-supervision
inferred← citeshttps://doi.org/10.5114/pg.2019.87528openalex-snapshot
The future of capsule endoscopy in clinical practice: from diagnostic to therapeutic experimental prototype capsules
inferred← citeshttps://doi.org/10.5755/j01.itc.53.2.34525openalex-snapshot
Efficient Guided Grad-CAM Tuned Patch Neural Network for Accurate Anomaly Detection in Full Images
inferred← citeshttps://doi.org/10.58837/chula.the.2022.100openalex-snapshot
A Comparative Study on Out of Scope Detection for Chest X-ray Images
inferred← citeshttps://doi.org/10.5946/ce.2018.173openalex-snapshot
Application of Artificial Intelligence in Capsule Endoscopy: Where Are We Now?
inferred← citeshttps://doi.org/10.6084/m9.figshare.14490340openalex-snapshot
Additional file 1 of Medical needs related to the endoscopic technology and colonoscopy for colorectal cancer diagnosis
inferred← citeshttps://doi.org/10.6084/m9.figshare.14490343openalex-snapshot
Additional file 2 of Medical needs related to the endoscopic technology and colonoscopy for colorectal cancer diagnosis
inferred← citeshttps://doi.org/10.6084/m9.figshare.14490346openalex-snapshot
Additional file 3 of Medical needs related to the endoscopic technology and colonoscopy for colorectal cancer diagnosis
inferred← citeshttps://doi.org/10.6084/m9.figshare.14490349openalex-snapshot
Additional file 4 of Medical needs related to the endoscopic technology and colonoscopy for colorectal cancer diagnosis
inferred← citeshttps://doi.org/10.6084/m9.figshare.24819452openalex-snapshot
Additional file 1 of Wireless capsule endoscopy multiclass classification using three-dimensional deep convolutional neural network model
inferred← citeshttps://doi.org/10.70675/c2c3af12za048z4255za5fdzf98ac7f287d5openalex-snapshot
Registration of multimodal images for characterization of cardiomyopathies
inferred← citeshttps://doi.org/10.7717/peerj-cs.1571openalex-snapshot
A method of water resources accounting based on deep clustering and attention mechanism under the background of integration of public health data and environmental economy
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