Cover Image

AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Delaquintana-Aramendi, Uxue, Benito-del-Valle, Leire, Alvarez-Gila, Aitor, Pascau, Javier, Sánchez-Peralta, Luisa F, Picón, Artzai, Pagador, J Blas, Saratxaga, Cristina L
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hyperspectral Dataset and Deep Learning methods for Waste from Electric and Electronic Equipment Identification (WEEE)
by: Picon, Artzai, et al.
Published: (2024)

Is Synthetic Image Augmentation Useful for Imbalanced Classification Problems? Case-Study on the MIDOG2025 Atypical Cell Detection Competition
by: Benito-Del-Valle, Leire, et al.
Published: (2025)

Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification
by: Benito-Del-Valle, Leire, et al.
Published: (2024)

Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model
by: Mansoori, Mobina, et al.
Published: (2024)

Colon Polyps Detection from Colonoscopy Images Using Deep Learning
by: Amin, Md Al, et al.
Published: (2025)

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
by: Dong, Bo, et al.
Published: (2021)

PolypFlow: Reinforcing Polyp Segmentation with Flow-Driven Dynamics
by: Wang, Pu, et al.
Published: (2025)

Frequency-Based Federated Domain Generalization for Polyp Segmentation
by: Pan, Hongyi, et al.
Published: (2024)

AgentPolyp: Accurate Polyp Segmentation via Image Enhancement Agent
by: Wang, Pu, et al.
Published: (2025)

TransRUPNet for Improved Polyp Segmentation
by: Jha, Debesh, et al.
Published: (2023)

ASPS: Augmented Segment Anything Model for Polyp Segmentation
by: Li, Huiqian, et al.
Published: (2024)

Vision Foundation Models in Agriculture: Toward Domain-Specific Adaptation for Weed Herbicide Trials Assessment
by: Benito-Del-Valle, Leire, et al.
Published: (2025)

ColonAdapter: Geometry Estimation Through Foundation Model Adaptation for Colonoscopy
by: Jiang, Zhiyi, et al.
Published: (2025)

CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation
by: Arudkar, Ankush Gajanan, et al.
Published: (2024)

Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection
by: Mansoori, Mobina, et al.
Published: (2024)

Rethinking Polyp Segmentation from an Out-of-Distribution Perspective
by: Ji, Ge-Peng, et al.
Published: (2023)

Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images
by: Khalafi, Mohammad Amin, et al.
Published: (2025)

Hybrid(Transformer+CNN)-based Polyp Segmentation
by: Baduwal, Madan
Published: (2025)

Frontiers in Intelligent Colonoscopy
by: Ji, Ge-Peng, et al.
Published: (2024)

RTA-Former: Reverse Transformer Attention for Polyp Segmentation
by: Li, Zhikai, et al.
Published: (2024)

Robust Segmentation of CPR-Induced Capnogram Using U-net: Overcoming Challenges with Deep Learning
by: Elola, Andoni, et al.
Published: (2024)

RetSeg: Retention-based Colorectal Polyps Segmentation Network
by: ELKarazle, Khaled, et al.
Published: (2023)

Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks
by: Galdran, Adrian
Published: (2024)

DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps
by: Manan, Malik Abdul, et al.
Published: (2024)

A Temporal Convolutional Network-Based Approach and a Benchmark Dataset for Colonoscopy Video Temporal Segmentation
by: Biffi, Carlo, et al.
Published: (2025)

Polyp Segmentation Using Wavelet-Based Cross-Band Integration for Enhanced Boundary Representation
by: Oh, Haesung, et al.
Published: (2026)

Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps
by: Manan, Malik Abdul, et al.
Published: (2024)

KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation
by: Trinh, Quoc-Huy, et al.
Published: (2023)

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention
by: Zeng, Jun, et al.
Published: (2025)

CRC-SAM: SAM-Based Multi-Modal Segmentation and Quantification of Colorectal Cancer in CT, Colonoscopy, and Histology Images
by: Lao, Daniel
Published: (2026)

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
by: Adame, Diego, et al.
Published: (2025)

BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp Segmentation
by: Singh, Owen, et al.
Published: (2024)

GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification
by: Golhar, Mayank, et al.
Published: (2022)

CLIP Based Region-Aware Feature Fusion for Automated BBPS Scoring in Colonoscopy Images
by: Fu, Yujia, et al.
Published: (2025)

C3VDv2 -- Colonoscopy 3D video dataset with enhanced realism
by: Golhar, Mayank V., et al.
Published: (2025)

Predicting Generalization of AI Colonoscopy Models to Unseen Data
by: Shor, Joel, et al.
Published: (2024)

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
by: Wang, Fangyijie, et al.
Published: (2026)

Generative Data-engine Foundation Model for Universal Few-shot 2D Vascular Image Segmentation
by: Ge, Rongjun, et al.
Published: (2026)

M$^4$oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts
by: Jiang, Yufeng, et al.
Published: (2024)

Foundation AI Model for Medical Image Segmentation
by: Bao, Rina, et al.
Published: (2024)