Cover Image

An Automatic Detection Method for Hematoma Features in Placental Abruption Ultrasound Images Based on Few-Shot Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Xiaoqing, Han, Jitai, Yan, Hua, Li, Peng, Tang, Sida, Li, Ying, Zhang, Kaiwen, Yu, Min
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Language Model Crossover: Variation through Few-Shot Prompting
by: Meyerson, Elliot, et al.
Published: (2023)

Multi-population Diversity-guided Genetic Algorithm for Feature Selection in Network Intrusion Detection
by: Li, Chunzhen
Published: (2026)

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
by: Lv, Changze, et al.
Published: (2024)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
by: Lv, Changze, et al.
Published: (2024)

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model
by: Yang, Xu, et al.
Published: (2025)

Large Language Model Assisted Automated Algorithm Generation and Evolution via Meta-black-box optimization
by: Yang, Xu, et al.
Published: (2025)

Toward Relative Positional Encoding in Spiking Transformers
by: Lv, Changze, et al.
Published: (2025)

Learning-Assisted Multi-Operator Variable Neighborhood Search for Urban Cable Routing
by: Liu, Wei, et al.
Published: (2025)

Evolutionary Alternating Direction Method of Multipliers for Constrained Multi-Objective Optimization with Unknown Constraints
by: Li, Shuang, et al.
Published: (2024)

An Efficient Evolutionary Algorithm for Few-for-Many Optimization
by: Shang, Ke, et al.
Published: (2026)

Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem
by: Huang, Jin, et al.
Published: (2024)

Parallel Training in Spiking Neural Networks
by: Huang, Yanbin, et al.
Published: (2026)

Image Classification Method using Dynamic Quantum Inspired Genetic Algorithm
by: Singh, Akhilesh Kumar, et al.
Published: (2025)

Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning
by: Li, Ke, et al.
Published: (2024)

A many-objective evolutionary algorithm using indicator-driven weight vector optimization
by: Han, Xiaojing, et al.
Published: (2025)

An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems
by: Tian, Maojiang, et al.
Published: (2024)

Connectome-Guided Automatic Learning Rates for Deep Networks
by: He, Peilin, et al.
Published: (2025)

Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware
by: Lutes, Nathan, et al.
Published: (2024)

A Detection Region Method-Based Evolutionary Algorithm for Binary Constrained Multiobjective Optimization
by: Huang, Weixiong, et al.
Published: (2024)

On Scalability of Multi-Objective Evolutionary Algorithms on Combinatorial Optimisation Problems
by: Tang, Menghao, et al.
Published: (2026)

Automatic Design of Optimization Test Problems with Large Language Models
by: Achtelik, Wojciech, et al.
Published: (2026)

Spiking Convolutional Neural Networks for Text Classification
by: Lv, Changze, et al.
Published: (2024)

A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization
by: Wang, Zhiyuan, et al.
Published: (2025)

Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization
by: Zhang, Wenrui, et al.
Published: (2021)

CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design
by: Huang, Ziyao, et al.
Published: (2025)

Evolving Generalizable Parallel Algorithm Portfolios for Binary Optimization Problems via Domain-Agnostic Instance Generation
by: Wang, Zhiyuan, et al.
Published: (2025)

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization
by: Yang, Xu, et al.
Published: (2025)

The working principles of model-based GAs fall within the PAC framework: A mathematical theory of problem decomposition
by: Yu, Tian-Li, et al.
Published: (2025)

Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
by: Tang, Kaiwen, et al.
Published: (2024)

Exploring the Noise Resilience of Successor Features and Predecessor Features Algorithms in One and Two-Dimensional Environments
by: Lee, Hyunsu
Published: (2023)

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction
by: Parab, Aishni, et al.
Published: (2025)

Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning
by: Xu, Boxun, et al.
Published: (2025)

DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving
by: Zhang, Zhihao, et al.
Published: (2025)

MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning
by: Chen, Jiaxin, et al.
Published: (2024)

An Efficient Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems
by: Zheng, Jiongzhi, et al.
Published: (2024)

An Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization
by: Huang, Han, et al.
Published: (2025)

PlatMetaX: An Integrated MATLAB platform for Meta-Black-Box Optimization
by: Yang, Xu, et al.
Published: (2025)

A Machine Learning Approach to Automatic Fall Detection of Soldiers
by: Soares, Leandro, et al.
Published: (2025)

Multiple-gain Estimation for Running Time of Evolutionary Combinatorial Optimization
by: Huang, Min, et al.
Published: (2025)

Running-time Analysis of ($μ+λ$) Evolutionary Combinatorial Optimization Based on Multiple-gain Estimation
by: Huang, Min, et al.
Published: (2025)