Cover Image

Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khaniki, Mohammad Ali Labbaf, Mahjourian, Nazanin, Manthouri, Mohammad
Format:	Preprint
Published:	2024
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

A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

Brain Tumor Classification using Vision Transformer with Selective Cross-Attention Mechanism and Feature Calibration
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation
by: Ali, Shams Nafisa, et al.
Published: (2026)

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling
by: Ji, Hangyu
Published: (2025)

MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
by: Bi, Yuan, et al.
Published: (2023)

Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images
by: Saky, S M Asiful Islam, et al.
Published: (2025)

Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X-ray Images
by: de Carvalho, Gabriel Bellon, et al.
Published: (2024)

U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation
by: Kzadri, Marwane, et al.
Published: (2025)

Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays
by: Zami, Abduz, et al.
Published: (2025)

SegNet: A Segmented Deep Learning based Convolutional Neural Network Approach for Drones Wildfire Detection
by: Jonnalagadda, Aditya V., et al.
Published: (2024)

OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images
by: Degerli, Aysen, et al.
Published: (2022)

Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
by: Ifty, Tanzina Taher, et al.
Published: (2024)

DiffSegLung: Diffusion Radiomic Distillation for Unsupervised Lung Pathology Segmentation
by: Khiati, Rezkellah Noureddine, et al.
Published: (2026)

Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation
by: Huang, Lili, et al.
Published: (2024)

Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity
by: Zunaed, Mohammad, et al.
Published: (2024)

Deep Learning Approach for the Diagnosis of Pediatric Pneumonia Using Chest X-ray Imaging
by: Hosseinabadi, Fatemeh, et al.
Published: (2025)

Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism
by: Mirzaeibonehkhater, Marzieh, et al.
Published: (2024)

Unpaired Translation of Chest X-ray Images for Lung Opacity Diagnosis via Adaptive Activation Masks and Cross-Domain Alignment
by: Ning, Junzhi, et al.
Published: (2025)

Attention-Enhanced U-Net for Accurate Segmentation of COVID-19 Infected Lung Regions in CT Scans
by: Lahchim, Amal, et al.
Published: (2025)

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)

Xray2Xray: World Model from Chest X-rays with Volumetric Context
by: Yang, Zefan, et al.
Published: (2025)

Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion
by: Sanjid, Kazi Shahriar, et al.
Published: (2024)

Comprehensive Lung Disease Detection Using Deep Learning Models and Hybrid Chest X-ray Data with Explainable AI
by: Sarker, Shuvashis, et al.
Published: (2025)

FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation
by: Rezvani, Sadjad, et al.
Published: (2024)

MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation
by: Shiranthika, Chamani, et al.
Published: (2025)

KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation
by: Fang, Chenglin, et al.
Published: (2024)

SegX: Improving Interpretability of Clinical Image Diagnosis with Segmentation-based Enhancement
by: Zhang, Yuhao, et al.
Published: (2025)

SegImgNet: Segmentation-Guided Dual-Branch Network for Retinal Disease Diagnoses
by: Luo, Xinwei, et al.
Published: (2025)

K-SAM: A Prompting Method Using Pretrained U-Net to Improve Zero Shot Performance of SAM on Lung Segmentation in CXR Images
by: Deriche, Mohamed, et al.
Published: (2024)

Efficient Brain Tumor Segmentation Using a Dual-Decoder 3D U-Net with Attention Gates (DDUNet)
by: Pajouh, Mohammad Mahdi Danesh
Published: (2025)

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance
by: Wong, Hallee E., et al.
Published: (2024)

Advanced U-Net Architectures with CNN Backbones for Automated Lung Cancer Detection and Segmentation in Chest CT Images
by: Golkarieh, Alireza, et al.
Published: (2025)

Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging
by: Dewbury, Jarett, et al.
Published: (2025)

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

Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
by: Nasiri, Hamid, et al.
Published: (2022)

Advanced Chest X-Ray Analysis via Transformer-Based Image Descriptors and Cross-Model Attention Mechanism
by: Agarwal, Lakshita, et al.
Published: (2025)

Chest X-ray Foundation Model with Global and Local Representations Integration
by: Yang, Zefan, et al.
Published: (2025)

HER-Seg: Holistically Efficient Segmentation for High-Resolution Medical Images
by: Xu, Qing, et al.
Published: (2025)

Reliable COVID-19 Detection Using Chest X-ray Images
by: Degerli, Aysen, et al.
Published: (2021)

BreastSegNet: Multi-label Segmentation of Breast MRI
by: Li, Qihang, et al.
Published: (2025)