Cover Image

Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Noreen, Muniba, Shaukat, Furqan
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images
by: Shaukat, Furqan, et al.
Published: (2024)

EMeRALDS: Electronic Medical Record Driven Automated Lung Nodule Detection and Classification in Thoracic CT Images
by: Eman, Hafza, et al.
Published: (2025)

Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning
by: V, Asha, et al.
Published: (2024)

Reproducible Benchmarking for Lung Nodule Detection and Malignancy Classification Across Multiple Low-Dose CT Datasets
by: Tushar, Fakrul Islam, et al.
Published: (2024)

Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
by: Sui, Mingxiu, et al.
Published: (2024)

An Efficient Approach to Detecting Lung Nodules Using Swin Transformer
by: Shakuri, Saeed, et al.
Published: (2025)

Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier
by: Rahman, Md. Sohanur, et al.
Published: (2024)

Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation
by: Khadra, Kathrin, et al.
Published: (2024)

S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation
by: Wu, Yuke, et al.
Published: (2024)

MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan
by: Usman, Muhammad, et al.
Published: (2023)

AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction
by: Khademi, Sadaf, et al.
Published: (2025)

Improved Focus on Hard Samples for Lung Nodule Detection
by: Chen, Yujiang, et al.
Published: (2024)

Reconstruction Interval Z-Phase Dependence of AI Detection Sensitivity in CT Lung Nodule Screening
by: Soliman, Dan
Published: (2026)

NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction
by: Khademi, Sadaf, et al.
Published: (2024)

Beyond Benchmarks: A Framework for Post Deployment Validation of CT Lung Nodule Detection AI
by: Soliman, Daniel
Published: (2026)

Attention-ResUNet and EfficientSASM-UNet: UNet based frameworks for Lung and Nodule segmentation
by: Abdullah, Muhammad, et al.
Published: (2025)

A Lung Nodule Dataset with Histopathology-based Cancer Type Annotation
by: Jian, Muwei, et al.
Published: (2024)

Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis
by: Jiang, Yifan, et al.
Published: (2025)

Nodule detection and generation on chest X-rays: NODE21 Challenge
by: Sogancioglu, Ecem, et al.
Published: (2024)

LMLCC-Net: A Semi-Supervised Deep Learning Model for Lung Nodule Malignancy Prediction from CT Scans using a Novel Hounsfield Unit-Based Intensity Filtering
by: Mamun, Tasnia Binte, et al.
Published: (2025)

A Deep Learning Framework for Thyroid Nodule Segmentation and Malignancy Classification from Ultrasound Images
by: Abdelrazik, Omar, et al.
Published: (2025)

Lightweight Residual Network for The Classification of Thyroid Nodules
by: Nikhila, Ponugoti, et al.
Published: (2019)

Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by Dragonfly Algorithm (DA)
by: Jamshidi, Bitasadat, et al.
Published: (2024)

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing
by: Efimovich, Maria, et al.
Published: (2024)

Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images
by: Al-Rubaian, Arwa, et al.
Published: (2023)

Alleviating Hyperparameter-Tuning Burden in SVM Classifiers for Pulmonary Nodules Diagnosis with Multi-Task Bayesian Optimization
by: Chi, Wenhao, et al.
Published: (2024)

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

Automatic Classification of White Blood Cell Images using Convolutional Neural Network
by: Asghar, Rabia, et al.
Published: (2024)

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction
by: Chen, Gaofeng, et al.
Published: (2024)

MRANet: A Modified Residual Attention Networks for Lung and Colon Cancer Classification
by: Bala, Diponkor, 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)

Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study
by: Naik, Sneha N., et al.
Published: (2025)

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

MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule
by: Cai, Guohui, et al.
Published: (2024)

Uncertainty-Aware Test-Time Adaptation for Inverse Consistent Diffeomorphic Lung Image Registration
by: Chaudhary, Muhammad F. A., et al.
Published: (2024)

Lung Cancer detection using Deep Learning
by: Chaudhari, Aryan, et al.
Published: (2025)

Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation
by: Tang, Hao, et al.
Published: (2024)

Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning
by: Hwang, Ung, et al.
Published: (2024)

Applied Computer Vision on 2-Dimensional Lung X-Ray Images for Assisted Medical Diagnosis of Pneumonia
by: Ligueran, Ralph Joseph S. D., et al.
Published: (2022)

Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration
by: Li, Xuewei, et al.
Published: (2023)