Cover Image

MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for Segmentation of Polyps in Colonoscopy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Raghaw, Chandravardhan Singh, Yadav, Aryan, Sanjotra, Jasmer Singh, Dangi, Shalini, Kumar, Nagendra
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

T-MPEDNet: Unveiling the Synergy of Transformer-aware Multiscale Progressive Encoder-Decoder Network with Feature Recalibration for Tumor and Liver Segmentation
by: Raghaw, Chandravardhan Singh, et al.
Published: (2025)

A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction
by: Dangi, Shalini, et al.
Published: (2025)

GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis
by: Chaudhari, Prasad, et al.
Published: (2024)

CoTCoNet: An Optimized Coupled Transformer-Convolutional Network with an Adaptive Graph Reconstruction for Leukemia Detection
by: Raghaw, Chandravardhan Singh, et al.
Published: (2024)

H-SemiS: Hierarchical Fusion of Semi and Self-Supervised Learning for Knee Osteoarthritis Severity Grading
by: Raghaw, Chandravardhan Singh, et al.
Published: (2026)

An Explainable Deep Neural Network with Frequency-Aware Channel and Spatial Refinement for Flood Prediction in Sustainable Cities
by: Dar, Shahid Shafi, et al.
Published: (2025)

An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection
by: Raghaw, Chandravardhan Singh, et al.
Published: (2024)

A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond
by: Bansal, Shubhi, et al.
Published: (2024)

SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
by: Hu, Qiang, et al.
Published: (2024)

LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images
by: Tesema, Fiseha B., et al.
Published: (2025)

MSAD-Net: Multiscale and Spatial Attention-based Dense Network for Lung Cancer Classification
by: Roy, Santanu, et al.
Published: (2025)

Towards Polyp Counting In Full-Procedure Colonoscopy Videos
by: Parolari, Luca, 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)

DepthPolyp: Pseudo-Depth Guided Lightweight Segmentation for Real-Time Colonoscopy
by: Wu, Zhuoyu, et al.
Published: (2026)

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

Progressively Normalized Self-Attention Network for Video Polyp Segmentation
by: Ji, Ge-Peng, et al.
Published: (2021)

ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization
by: Yang, Yixin, et al.
Published: (2024)

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

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy
by: Jha, Debesh, et al.
Published: (2024)

Multi-Layer Dense Attention Decoder for Polyp Segmentation
by: Patel, Krushi, et al.
Published: (2024)

MPCGNet: A Multiscale Feature Extraction and Progressive Feature Aggregation Network Using Coupling Gates for Polyp Segmentation
by: Wang, Wei, et al.
Published: (2025)

Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy
by: Parolari, Luca, et al.
Published: (2025)

MicroAUNet: Boundary-Enhanced Multi-scale Fusion with Knowledge Distillation for Colonoscopy Polyp Image Segmentation
by: Wang, Ziyi, et al.
Published: (2025)

SAMIC: Segment Anything with In-Context Spatial Prompt Engineering
by: Nagendra, Savinay, et al.
Published: (2024)

GRAFNet: Multiscale Retinal Processing via Guided Cortical Attention Feedback for Enhancing Medical Image Polyp Segmentation
by: Fofanah, Abdul Joseph, et al.
Published: (2026)

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation
by: Li, Desheng, et al.
Published: (2025)

GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation
by: Ye, Chengwei, et al.
Published: (2025)

Unlocking Generalization in Polyp Segmentation with DINO Self-Attention "keys"
by: Monteiro, Carla, et al.
Published: (2025)

Dynamic Contextual Attention Network: Transforming Spatial Representations into Adaptive Insights for Endoscopic Polyp Diagnosis
by: Cherukuri, Teja Krishna, et al.
Published: (2025)

Investigating Spatial Attention Bias in Vision-Language Models
by: Chaudhary, Aryan, et al.
Published: (2025)

PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis
by: Choudhuri, Anwesa, et al.
Published: (2025)

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

MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer
by: Chen, Geng, et al.
Published: (2024)

MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation
by: Yadav, Nand Kumar, et al.
Published: (2025)

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

Multi-scale Information Sharing and Selection Network with Boundary Attention for Polyp Segmentation
by: Kang, Xiaolu, et al.
Published: (2024)

Edge-aware Feature Aggregation Network for Polyp Segmentation
by: Zhou, Tao, et al.
Published: (2023)

Sentiment and Hashtag-aware Attentive Deep Neural Network for Multimodal Post Popularity Prediction
by: Bansal, Shubhi, et al.
Published: (2024)

CMFDNet: Cross-Mamba and Feature Discovery Network for Polyp Segmentation
by: Jiang, Feng, et al.
Published: (2025)

ASGNet: Adaptive Spectrum Guidance Network for Automatic Polyp Segmentation
by: Sun, Yanguang, et al.
Published: (2026)