Cover Image

Integrating Background Knowledge in Medical Semantic Segmentation with Logic Tensor Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bergamin, Luca, Dimitri, Giovanna Maria, Aiolli, Fabio
Format:	Preprint
Published:	2025
Subjects:	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

Medical Semantic Segmentation with Diffusion Pretrain
by: Li, David, et al.
Published: (2025)

Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation
by: Huang, Yanglin, et al.
Published: (2025)

Background Invariance Testing According to Semantic Proximity
by: Liao, Zukang, et al.
Published: (2022)

Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
by: Mossina, Luca, et al.
Published: (2024)

(Sometimes) Less is More: Mitigating the Complexity of Rule-based Representation for Interpretable Classification
by: Bergamin, Luca, et al.
Published: (2025)

Weakly Supervised Object Segmentation by Background Conditional Divergence
by: Baker, Hassan, et al.
Published: (2025)

Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation
by: Thaler, Franz, et al.
Published: (2025)

Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation
by: Lafargue-Hauret, Marceau, et al.
Published: (2026)

A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
by: Pro, Francesco, et al.
Published: (2024)

MedCRP-CL: Continual Medical Image Segmentation via Bayesian Nonparametric Semantic Modality Discovery
by: Gao, Ziyuan
Published: (2026)

Efficient Adaptation of Deep Neural Networks for Semantic Segmentation in Space Applications
by: Olivi, Leonardo, et al.
Published: (2025)

UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation
by: Lucke, Kyle, et al.
Published: (2026)

Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network
by: Tain, Zhibo, et al.
Published: (2023)

Estimating Appearance Models for Image Segmentation via Tensor Factorization
by: Neto, Jeova Farias Sales Rocha
Published: (2022)

The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation
by: Liang, Junhui, et al.
Published: (2023)

Learning Ordinality in Semantic Segmentation
by: Cruz, Ricardo P. M., et al.
Published: (2024)

Noisy Annotations in Semantic Segmentation
by: Kimhi, Moshe, et al.
Published: (2024)

Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
by: Dionelis, Nikolaos, et al.
Published: (2024)

Online Knowledge Integration for 3D Semantic Mapping: A Survey
by: Igelbrink, Felix, et al.
Published: (2024)

OPTNet: Ordering Point Transformer Network for Post-disaster 3D Semantic Segmentation
by: Le, Nhut, et al.
Published: (2026)

Navigating Uncertainty in Medical Image Segmentation
by: Zepf, Kilian, et al.
Published: (2024)

ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation
by: Gong, Zhendi, et al.
Published: (2022)

Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation
by: Rheude, Tillmann, et al.
Published: (2024)

BAFNet: Bilateral Attention Fusion Network for Lightweight Semantic Segmentation of Urban Remote Sensing Images
by: Wang, Wentao, et al.
Published: (2024)

Medical Image Spatial Grounding with Semantic Sampling
by: Yu, Andrew Seohwan, et al.
Published: (2026)

TensorProjection Layer: A Tensor-Based Dimension Reduction Method in Deep Neural Networks
by: Morimoto, Toshinari, et al.
Published: (2020)

Convolutional Differentiable Logic Gate Networks
by: Petersen, Felix, et al.
Published: (2024)

UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering
by: Adityaja, A. Mudit, et al.
Published: (2024)

Exploring Simple Open-Vocabulary Semantic Segmentation
by: Lai, Zihang
Published: (2024)

MMSFormer: Multimodal Transformer for Material and Semantic Segmentation
by: Reza, Md Kaykobad, et al.
Published: (2023)

Segmentation by Factorization: Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features
by: Gildenblat, Jacob, et al.
Published: (2024)

Real-Time Semantic Background Subtraction
by: Cioppa, Anthony, et al.
Published: (2020)

Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores
by: Wu, Chunshu, et al.
Published: (2026)

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

Diffusion-Based Data Augmentation for Medical Image Segmentation
by: Nazir, Maham, et al.
Published: (2025)

Refining 3D Medical Segmentation with Verbal Instruction
by: Xie, Kangxian, et al.
Published: (2026)

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
by: Das, Aryan, et al.
Published: (2026)

FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation
by: Benigmim, Yasser, et al.
Published: (2025)

3D Semantic Segmentation for Post-Disaster Assessment
by: Le, Nhut, et al.
Published: (2025)

On Efficient Real-Time Semantic Segmentation: A Survey
by: Holder, Christopher J., et al.
Published: (2022)