Cover Image

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bekhouche, Salah Eddine, Maroun, Gaby, Dornaika, Fadi, Hadid, Abdenour
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrating ConvNeXt and Vision Transformers for Enhancing Facial Age Estimation
by: Maroun, Gaby, et al.
Published: (2025)

Decoding Matters: Efficient Mamba-Based Decoder with Distribution-Aware Deep Supervision for Medical Image Segmentation
by: Bougourzi, Fares, et al.
Published: (2026)

VLM-PAR: A Vision Language Model for Pedestrian Attribute Recognition
by: Sellam, Abdellah Zakaria, et al.
Published: (2025)

RF-HiT: Rectified Flow Hierarchical Transformer for General Medical Image Segmentation
by: Djouama, Ahmed Marouane, et al.
Published: (2026)

VP-Hype: A Hybrid Mamba-Transformer Framework with Visual-Textual Prompting for Hyperspectral Image Classification
by: Sellam, Abdellah Zakaria, et al.
Published: (2026)

Conflict-Aware Multimodal Fusion for Ambivalence and Hesitancy Recognition
by: Bekhouche, Salah Eddine, et al.
Published: (2026)

Recent Advances in Medical Imaging Segmentation: A Survey
by: Bougourzi, Fares, et al.
Published: (2025)

C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Car Damage Detection
by: Sellam, Abdellah Zakaria, et al.
Published: (2025)

Enhanced Arabic Text Retrieval with Attentive Relevance Scoring
by: Bekhouche, Salah Eddine, et al.
Published: (2025)

HSMix: Hard and Soft Mixing Data Augmentation for Medical Image Segmentation
by: Sun, Danyang, et al.
Published: (2025)

MambaCAFU: Hybrid Multi-Scale and Multi-Attention Model with Mamba-Based Fusion for Medical Image Segmentation
by: Bui, T-Mai, et al.
Published: (2025)

LoLA-SpecViT: Local Attention SwiGLU Vision Transformer with LoRA for Hyperspectral Imaging
by: Zidi, Fadi Abdeladhim, et al.
Published: (2025)

D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical Images
by: Bougourzi, Fares, et al.
Published: (2024)

Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging
by: Bougourzi, Fares, et al.
Published: (2024)

SAViL-Det: Semantic-Aware Vision-Language Model for Multi-Script Text Detection
by: Zighem, Mohammed-En-Nadhir, et al.
Published: (2025)

Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification
by: Sellam, Abdellah Zakaria, et al.
Published: (2025)

A Re-node Self-training Approach for Deep Graph-based Semi-supervised Classification on Multi-view Image Data
by: Bi, Jingjun, et al.
Published: (2025)

Local and Global Context-and-Object-part-Aware Superpixel-based Data Augmentation for Deep Visual Recognition
by: Dornaika, Fadi, et al.
Published: (2025)

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images
by: Keita, Mamadou, et al.
Published: (2025)

SCS-SupCon: Sigmoid-based Common and Style Supervised Contrastive Learning with Adaptive Decision Boundaries
by: Wang, Bin, et al.
Published: (2025)

Lung Infection Severity Prediction Using Transformers with Conditional TransMix Augmentation and Cross-Attention
by: Slika, Bouthaina, et al.
Published: (2025)

SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation
by: Tan, Shengbo, et al.
Published: (2024)

Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
by: Bougourzi, Fares, et al.
Published: (2024)

SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
by: Perera, Shehan, et al.
Published: (2024)

Shuffle Vision Transformer: Lightweight, Fast and Efficient Recognition of Driver Facial Expression
by: Saadi, Ibtissam, et al.
Published: (2024)

FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
by: Keita, Mamadou, et al.
Published: (2024)

Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers
by: Kim, Chaehyun, et al.
Published: (2025)

MCFCN: Multi-View Clustering via a Fusion-Consensus Graph Convolutional Network
by: Pei, Chenping, et al.
Published: (2025)

Enhancing Semi-Supervised Multi-View Graph Convolutional Networks via Supervised Contrastive Learning and Self-Training
by: Xiao, Huaiyuan, et al.
Published: (2025)

MedSeg-R: Medical Image Segmentation with Clinical Reasoning
by: Shao, Hao, et al.
Published: (2025)

SegVol: Universal and Interactive Volumetric Medical Image Segmentation
by: Du, Yuxin, et al.
Published: (2023)

Harnessing the Power of Large Vision Language Models for Synthetic Image Detection
by: Keita, Mamadou, et al.
Published: (2024)

PE-CLIP: A Parameter-Efficient Fine-Tuning of Vision Language Models for Dynamic Facial Expression Recognition
by: Saadi, Ibtissam, et al.
Published: (2025)

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models
by: Huang, Yu, et al.
Published: (2025)

Med-SegLens: Latent-Level Model Diffing for Interpretable Medical Image Segmentation
by: Ahmed, Salma J., et al.
Published: (2026)

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation
by: Du, Anghong, et al.
Published: (2025)

SPARK-IL: Spectral Retrieval-Augmented RAG for Knowledge-driven Deepfake Detection via Incremental Learning
by: Eutamene, Hessen Bougueffa, et al.
Published: (2026)

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

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
by: Xing, Zhaohu, et al.
Published: (2024)

CVPD at QIAS 2025 Shared Task: An Efficient Encoder-Based Approach for Islamic Inheritance Reasoning
by: Bekhouche, Salah Eddine, et al.
Published: (2025)