AIPNet: Action-Instance Progressive Learning Network for Instrument-tissue Interaction Detection [0.03%]
一种用于检测器械组织相互作用的渐进式学习网络(AIPNet)
Wenjun Lin,Yan Hu,Luoying Hao et al.
Wenjun Lin et al.
These progressive learning processes improve the performance of the end-to-end model. Additionally, we introduce Dynamic Proposal Generators (DPG) to create dynamic adaptive learnable proposals for each video frame.
Hierarchical progressive learning for zero-shot peptide-HLA binding prediction and automated antigenic peptide design [0.03%]
基于分层递进学习的零样本多肽-HLA结合预测与抗原多肽自动化设计方法
Xinyuan Zhu,Jiadong Lu,Xinting Hu et al.
Xinyuan Zhu et al.
To achieve the binding prediction on those zero-shot alleles, we developed a hierarchical progressive learning (HPL) framework that progressively learns sequence patterns of specific peptide-HLA complexes.
Dynamical system response under Gaussian and Poisson white noises solved by deep neural network method with adaptive task decomposition and progressive learning strategy [0.03%]
自适应任务分解和渐进学习策略的深度神经网络方法及其求解高斯白噪声与泊松白噪声下的动力系统响应问题
Wantao Jia,Xiaotong Feng,Yifan Zhao et al.
Wantao Jia et al.
To address this limitation, we develop a deep neural network method called ATD-GLPINNs, which integrates adaptive task decomposition and progressive learning strategy....This approach decomposes the complex task along the time axis into an initial subtask and several extra tasks, which enable progressive learning through adaptive adjustment of task parameters.
Automated Microbubble Discrimination in Ultrasound Localization Microscopy by Vision Transformer [0.03%]
基于视觉变换器的超声定位显微镜下的微气泡自动分类技术
Renxian Wang,Wei-Ning Lee
Renxian Wang
Our method features an efficient channel attention vision transformer (ViT) and a progressive learning strategy, enabling it to learn global information through training on progressively increasing patch sizes.
Nursing students' experiences and perceptions regarding in-class flipped classroom: a mixed-methods study [0.03%]
护理学生的经验和感知：关于翻转课堂教学的混合方法研究
Dongmei Zhang,Anle Huang,Yunxiao Lei et al.
Dongmei Zhang et al.
The qualitative results revealed five themes: progressive learning experience, teaching efficiency and effectiveness, developing abilities, impact on academic and occupational emotions, and needing to be improved.
Enhancing 18F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm [0.03%]
利用深度渐进学习重建算法改善不同体质指数下的18F-FDG PET图像质量和病灶诊断性能
Zhihao Chen,Hongxing Yang,Ming Qi et al.
Zhihao Chen et al.
Deep progressive learning (DPL) algorithm, an Artificial Intelligence(AI)-based PET reconstruction technique, offers a promising solution....Keywords: BMI; Deep progressive learning (DPL); Lesion diagnostic performance; Ordered subset expectation maximization (OSEM); PET image quality. © 2025. The Author(s).
Comparison of 18F-FDG PET image quality and quantitative parameters between DPR and OSEM reconstruction algorithm in patients with lung cancer [0.03%]
肺癌患者使用DPR与OSEM重建算法的18F-FDG PET图像质量及定量参数比较
Ziyi Zhang,Wei Han,Zhehao Lyu et al.
Ziyi Zhang et al.
Objectives: The present study aimed to investigate the influence of the deep progressive learning reconstruction (DPR) algorithm on the 18F-FDG PET image quality and quantitative parameters.
Full-dimensional dynamic convolution and progressive learning strategy for strawberry recognition based on YOLOv8 [0.03%]
基于YOLOv8的全维度动态卷积和渐进学习策略的草莓识别方法
Liping Bai,Chenglei Xia,Fei Liu et al.
Liping Bai et al.
The growth of strawberries is influenced by environmental diversity and spatial dispersion, which present significant challenges for accurate identification and real-time image processing in complex environments. This paper addresses these ...
Perceptual discrimination learning in children with and without autism: The effect of feedback, modality, and progressive-learning [0.03%]
自闭症儿童的感知辨别学习：反馈、模态及渐进式学习的影响
Barbara A Church,Jonathan D Rodgers,Brooke N Jackson et al.
Barbara A Church et al.
In the auditory task, autistic children showed a progressive learning advantage after both exposure and training, but TD children only showed this advantage after training. They also had significantly better auditory discrimination than TD children after progressive training.
Impact of a deep progressive reconstruction algorithm on low-dose or fast-scan PET image quality and Deauville score in patients with lymphoma [0.03%]
一种深度递进重建算法对低剂量或快速扫描正电子发射断层显像图像质量和淋巴瘤患者德沃利评分的影响
Wenli Qiao,Taisong Wang,Hongyuan Yi et al.
Wenli Qiao et al.
Background: A deep progressive learning method for PET image reconstruction named deep progressive reconstruction (DPR) method was developed and presented in previous works.
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