Cover Image

Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khadra, Kathrin, Türkbey, Utku
Format:	Preprint
Published:	2024
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 Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images
by: Noreen, Muniba, 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)

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

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

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

GCtx-UNet: Efficient Network for Medical Image Segmentation
by: Alrfou, Khaled, et al.
Published: (2024)

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

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

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)

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
by: Saadi, Nada, et al.
Published: (2024)

A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation
by: Celaya, Adrian, et al.
Published: (2023)

Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation
by: Gorade, Vandan, et al.
Published: (2024)

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models
by: Konz, Nicholas, et al.
Published: (2024)

Segment Anything Model for Medical Images?
by: Huang, Yuhao, et al.
Published: (2023)

Shortcut Learning in Medical Image Segmentation
by: Lin, Manxi, et al.
Published: (2024)

Supervision by Denoising for Medical Image Segmentation
by: Young, Sean I., et al.
Published: (2022)

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
by: Cheng, Chun-Wun, et al.
Published: (2025)

Dual Cross-Attention for Medical Image Segmentation
by: Ates, Gorkem Can, et al.
Published: (2023)

Deep Semantic Segmentation of Natural and Medical Images: A Review
by: Taghanaki, Saeid Asgari, et al.
Published: (2019)

Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study
by: Rais, Khadija, et al.
Published: (2024)

Topologically Faithful Multi-class Segmentation in Medical Images
by: Berger, Alexander H., et al.
Published: (2024)

Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation
by: Bao, Jie, et al.
Published: (2024)

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)

USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations
by: Ostmeier, Sophie, et al.
Published: (2022)

Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models
by: Liu, Houze, et al.
Published: (2024)

Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation
by: Chen, Gongping, et al.
Published: (2022)

PL-Net: Progressive Learning Network for Medical Image Segmentation
by: Mao, Kunpeng, et al.
Published: (2021)

Dilated Balanced Cross Entropy Loss for Medical Image Segmentation
by: Hosseini, Seyed Mohsen, et al.
Published: (2024)

Pixel-wise Modulated Dice Loss for Medical Image Segmentation
by: Hosseini, Seyed Mohsen
Published: (2025)

Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation
by: Huang, Tianyu, et al.
Published: (2024)

Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation
by: Wang, Zihao, 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)

MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
by: Khan, Abdul Rehman, et al.
Published: (2023)

Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
by: Lambert, Benjamin, et al.
Published: (2022)

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

A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers
by: Bastico, Matteo, et al.
Published: (2023)

Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging
by: Anari, Pouria Yazdian, et al.
Published: (2024)

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models
by: Maleki, Farhad, et al.
Published: (2024)

EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation
by: Abutalip, Kudaibergen, et al.
Published: (2024)

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2023)