Pixel-wise Modulated Dice Loss for Medical Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Hosseini, Seyed Mohsen
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

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

Centerline Boundary Dice Loss for Vascular Segmentation
by: Shi, Pengcheng, et al.
Published: (2024)

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

Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation
by: Tang, Hao, 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)

Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects
by: Hu, Zhining, et al.
Published: (2024)

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

A Global and Patch-wise Contrastive Loss for Accurate Automated Exudate Detection
by: Tang, Wei, et al.
Published: (2023)

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

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

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

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)

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

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

Reliable Multi-modal Medical Image-to-image Translation Independent of Pixel-wise Aligned Data
by: Zhou, Langrui, et al.
Published: (2024)

Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images
by: Ozcelik, Seher, et al.
Published: (2023)

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)

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)

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

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

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

Realism in Action: Anomaly-Aware Diagnosis of Brain Tumors from Medical Images Using YOLOv8 and DeiT
by: Hashemi, Seyed Mohammad Hossein, et al.
Published: (2024)

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+
by: Kanrar, Sayandeep, et al.
Published: (2025)

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

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)

LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation
by: Sun, Songkai, et al.
Published: (2024)

Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training
by: Chen, Jiamin, et al.
Published: (2024)

Assessing The Impact of CNN Auto Encoder-Based Image Denoising on Image Classification Tasks
by: Hami, Mohsen, et al.
Published: (2024)

Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency
by: Zheng, Yubin, et al.
Published: (2024)

Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention
by: Nam, Ju-Hyeon, 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)

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

Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images
by: Ahmadi, Mohsen, et al.
Published: (2023)