Cover Image

Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Setting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chłopowiec, Adrian B., Chłopowiec, Adam R., Galus, Krzysztof, Cebula, Wojciech, Tabakov, Martin
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Highlight Removal Method for Capsule Endoscopy Images
by: Zhang, Shaojie, et al.
Published: (2024)

Reliable Mislabel Detection for Video Capsule Endoscopy Data
by: Werner, Julia, et al.
Published: (2026)

Capsule Endoscopy Image Enhancement for Small Intestinal Villi Clarity
by: Zhang, Shaojie, et al.
Published: (2024)

Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy
by: Handa, Palak, et al.
Published: (2024)

CAVE-Net: Classifying Abnormalities in Video Capsule Endoscopy
by: Harish, Ishita, et al.
Published: (2024)

Using Multi-Instance Learning to Identify Unique Polyps in Colon Capsule Endoscopy Images
by: Sharma, Puneet, et al.
Published: (2026)

Image Compression with Bubble-Aware Frame Rate Adaptation for Energy-Efficient Video Capsule Endoscopy
by: Bause, Oliver, et al.
Published: (2026)

Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model
by: Subedi, Aliza, et al.
Published: (2024)

Enhanced Anomaly Detection for Capsule Endoscopy Using Ensemble Learning Strategies
by: Werner, Julia, et al.
Published: (2025)

Transformer-Based Wireless Capsule Endoscopy Bleeding Tissue Detection and Classification
by: Alawode, Basit, et al.
Published: (2024)

Seeing More with Less: Video Capsule Endoscopy with Multi-Task Learning
by: Werner, Julia, et al.
Published: (2025)

Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis
by: Zhang, Bowen, et al.
Published: (2024)

Capsule Vision Challenge 2024: Multi-Class Abnormality Classification for Video Capsule Endoscopy
by: Bansal, Aakarsh, et al.
Published: (2024)

Exploring the Equivalence of Closed-Set Generative and Real Data Augmentation in Image Classification
by: Wang, Haowen, et al.
Published: (2025)

Smart Video Capsule Endoscopy: Raw Image-Based Localization for Enhanced GI Tract Investigation
by: Bause, Oliver, et al.
Published: (2025)

GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing
by: Islam, Khawar, et al.
Published: (2024)

FUSECAPS: Investigating Feature Fusion Based Framework for Capsule Endoscopy Image Classification
by: Chakraborty, Bidisha, et al.
Published: (2024)

EndoOOD: Uncertainty-aware Out-of-distribution Detection in Capsule Endoscopy Diagnosis
by: Tan, Qiaozhi, et al.
Published: (2024)

Influence of color correction on pathology detection in Capsule Endoscopy
by: Agossou, Bidossessi Emmanuel, et al.
Published: (2025)

Capsule Endoscopy Multi-classification via Gated Attention and Wavelet Transformations
by: Panchananam, Lakshmi Srinivas, et al.
Published: (2024)

Multi-Class Abnormality Classification Task in Video Capsule Endoscopy
by: Verma, Dev Rishi, et al.
Published: (2024)

Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
by: Yuan, Jianhao, et al.
Published: (2022)

CapCLIP: A Vision-Language Representation Alignment Approach for Wireless Capsule Endoscopy Analysis
by: Wahab, Haroon, et al.
Published: (2026)

This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation
by: Diamantis, Dimitrios E., et al.
Published: (2023)

Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition
by: Xiao, Anqi, et al.
Published: (2025)

Revisiting Data Augmentation for Ultrasound Images
by: Tupper, Adam, et al.
Published: (2025)

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X
by: Shekar, Pavan C, et al.
Published: (2024)

Consisaug: A Consistency-based Augmentation for Polyp Detection in Endoscopy Image Analysis
by: Zhou, Ziyu, et al.
Published: (2024)

CapsoNet: A CNN-Transformer Ensemble for Multi-Class Abnormality Detection in Video Capsule Endoscopy
by: Samal, Arnav, et al.
Published: (2024)

Data Augmentation for NeRFs in the Low Data Limit
by: Gaggar, Ayush, et al.
Published: (2025)

An Effective Data Augmentation Method by Asking Questions about Scene Text Images
by: Yao, Xu, et al.
Published: (2026)

Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy
by: Gatoula, Panagiota, et al.
Published: (2024)

Divide-then-Diagnose: Weaving Clinician-Inspired Contexts for Ultra-Long Capsule Endoscopy Videos
by: Liu, Bowen, et al.
Published: (2026)

BackFlip: The Impact of Local and Global Data Augmentations on Artistic Image Aesthetic Assessment
by: Strafforello, Ombretta, et al.
Published: (2024)

Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings
by: Loussaief, Eddardaa B., et al.
Published: (2024)

Towards Full Integration of Artificial Intelligence in Colon Capsule Endoscopy's Pathway
by: Nadimi, Esmaeil S., et al.
Published: (2024)

Effective Data Augmentation With Diffusion Models
by: Trabucco, Brandon, et al.
Published: (2023)

Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images
by: Tupper, Adam, et al.
Published: (2024)

Synthetic Data Generation for Long-Tail Medical Image Classification: A Case Study in Skin Lesions
by: Jiang, Jiaxiang, et al.
Published: (2026)

Artificial Intelligence in Gastrointestinal Bleeding Analysis for Video Capsule Endoscopy: Insights, Innovations, and Prospects (2008-2023)
by: Singh, Tanisha, et al.
Published: (2024)