Imagen de Portada

Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Oh, Jun-Young, Lee, In-Gyu, Kam, Tae-Eui, Jeong, Ji-Hoon
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Generative Active Learning with Variational Autoencoder for Radiology Data Generation in Veterinary Medicine
por: Lee, In-Gyu, et al.
Publicado: (2024)

DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation
por: Park, Sang-Jun, et al.
Publicado: (2025)

Micro and Nanoengineered Cardiac Spheroids and Organoids: Toward Translational Applications
por: Sefali Bhakuni, et al.
Publicado: (2026)

Query-guided Prototype Evolution Network for Few-Shot Segmentation
por: Cong, Runmin, et al.
Publicado: (2024)

Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
por: Ni, Xinzhe, et al.
Publicado: (2022)

Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation
por: Zou, Tianyu, et al.
Publicado: (2025)

Rapid and Environment‐Friendly LC–MS/MS for Simultaneous Analysis of Amino Acids in Veterinary Medicine
por: HyunYoung Chae, et al.
Publicado: (2025)

Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis
por: Lim, Minjoo, et al.
Publicado: (2025)

Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies
por: Shin, Dong-Hee, et al.
Publicado: (2025)

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
por: Park, Suho, et al.
Publicado: (2025)

Few-Shot Medical Image Segmentation with High-Fidelity Prototypes
por: Tang, Song, et al.
Publicado: (2024)

Tied Prototype Model for Few-Shot Medical Image Segmentation
por: Kim, Hyeongji, et al.
Publicado: (2025)

Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection
por: Jiang, Yuxin, et al.
Publicado: (2025)

Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype
por: Tang, Song, et al.
Publicado: (2024)

Text-Aware Adapter for Few-Shot Keyword Spotting
por: Jung, Youngmoon, et al.
Publicado: (2024)

Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
por: Viti, Bruno, et al.
Publicado: (2024)

IPNET:Influential Prototypical Networks for Few Shot Learning
por: Chowdhury, Ranjana Roy, et al.
Publicado: (2022)

Gut‐Brain Axis Impact on Canine Anxiety Disorders: New Challenges for Behavioral Veterinary Medicine
por: Carina Sacoor, et al.
Publicado: (2024)

Unify the Views: View-Consistent Prototype Learning for Few-Shot Segmentation
por: Liu, Hongli, et al.
Publicado: (2026)

Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation
por: Thrainer, Christina, et al.
Publicado: (2025)

Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification
por: Goswami, Dipam, et al.
Publicado: (2026)

Bi-MCQ: Reformulating Vision-Language Alignment for Negation Understanding
por: Kim, Tae Hun, et al.
Publicado: (2026)

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses
por: Jeong, Seung Gyu, et al.
Publicado: (2025)

PULSE: A Unified Multi-Task Architecture for Cardiac Segmentation, Diagnosis, and Few-Shot Cross-Modality Clinical Adaptation
por: Ghouse, Hania, et al.
Publicado: (2025)

Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
por: Ayman, Ahmed
Publicado: (2023)

HyCal: A Training-Free Prototype Calibration Method for Cross-Discipline Few-Shot Class-Incremental Learning
por: Lee, Eunju, et al.
Publicado: (2026)

Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation
por: Jiang, Jianchao, et al.
Publicado: (2025)

CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
por: Oh, Junghun, et al.
Publicado: (2024)

Decomposed Prototype Learning for Few-Shot Scene Graph Generation
por: Li, Xingchen, et al.
Publicado: (2023)

Towards Robust Cardiac Segmentation using Graph Convolutional Networks
por: Van De Vyver, Gilles, et al.
Publicado: (2023)

Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification
por: Sai, Chinthakuntla Meghan, et al.
Publicado: (2026)

ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling
por: Licht, Martin, et al.
Publicado: (2025)

Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
por: P, Jishnu Jaykumar, et al.
Publicado: (2023)

Prototype Learning-Based Few-Shot Segmentation for Low-Light Crack on Concrete Structures
por: Guo, Yulun
Publicado: (2026)

Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation
por: Zhang, Yumin, et al.
Publicado: (2024)

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
por: Wang, Jing, et al.
Publicado: (2023)

Visual Motion Imagery Classification with Deep Neural Network based on Functional Connectivity
por: Kwon, Byoung-Hee, et al.
Publicado: (2021)

ProtoConNet: Prototypical Augmentation and Alignment for Open-Set Few-Shot Image Classification
por: Shi, Kexuan, et al.
Publicado: (2025)

Archives of Veterinary Medicine
Publicado: (2020)

Veterinary Medicine and Science
Publicado: (2015)