Cover Image

Colon Polyps Detection from Colonoscopy Images Using Deep Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Amin, Md Al, Paul, Bikash Kumar
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

AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models
by: Delaquintana-Aramendi, Uxue, et al.
Published: (2025)

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

White Light Specular Reflection Data Augmentation for Deep Learning Polyp Detection
by: Nuñez, Jose Angel, et al.
Published: (2025)

Cervical Cancer Detection Using Multi-Branch Deep Learning Model
by: Baba, Tatsuhiro, et al.
Published: (2024)

DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image Classification
by: Khan, Muazzem Hussain, et al.
Published: (2026)

Deep Learning for Improved Polyp Detection from Synthetic Narrow-Band Imaging
by: Haugland, Mathias Ramm, et al.
Published: (2024)

InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning
by: Miah, Md. Asiful Islam, et al.
Published: (2024)

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

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

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

Polyp segmentation in colonoscopy images using DeepLabV3++
by: Islam, Al Mohimanul, et al.
Published: (2024)

Comparative Analysis of Hyperspectral Image Reconstruction Using Deep Learning for Agricultural and Biological Applications
by: Ahmed, Md. Toukir, et al.
Published: (2024)

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

Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet
by: Rahman, Asadullah Bin, et al.
Published: (2025)

A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images
by: Asiri, Norah, et al.
Published: (2021)

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

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

Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp Classification
by: Sharma, Vanshali, et al.
Published: (2025)

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

A Novel Approach for Defect Detection of Wind Turbine Blade Using Virtual Reality and Deep Learning
by: Rabbi, Md Fazle, et al.
Published: (2023)

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

Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
by: Malekmohammadi, Amin, et al.
Published: (2024)

Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model
by: Das, Alloy, et al.
Published: (2024)

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos
by: Hamdi, Abdullah, et al.
Published: (2026)

A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification
by: Akter, Maksuda, et al.
Published: (2024)

MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN
by: Fahad, Nafiz, et al.
Published: (2024)

Stereo Radargrammetry Using Deep Learning from Airborne SAR Images
by: Sasayama, Tatsuya, et al.
Published: (2025)

MugenNet: A Novel Combined Convolution Neural Network and Transformer Network with its Application for Colonic Polyp Image Segmentation
by: Peng, Chen, et al.
Published: (2024)

MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images
by: Sarkar, Ovi, et al.
Published: (2025)

Vision Models for Medical Imaging: A Hybrid Approach for PCOS Detection from Ultrasound Scans
by: Hoque, Md Mahmudul, et al.
Published: (2026)

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

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

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

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

Enhancing Underwater Images Using Deep Learning with Subjective Image Quality Integration
by: Montero, Jose M., et al.
Published: (2025)

Denoising Low-dose Images Using Deep Learning of Time Series Images
by: Shao, Yang, et al.
Published: (2024)

Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models
by: Zhang, Haoyue, et al.
Published: (2023)

AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder
by: Huq, Aminul, et al.
Published: (2023)

An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
by: Akter, Maksuda, et al.
Published: (2024)

Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2025)