Semantic Explanation for Malaria Diagnosis: Comparing Human and Machine Generated Annotations for Plasmodium Species and Life-Stage Features [0.03%]
疟疾诊断的语义解释：人类和机器标注的Plasmodium物种和生活周期阶段特征的对比分析
Kamal B Jillahi,Zainab S Usman,Charles Nche
Kamal B Jillahi
Goal: Accurate detection of malaria parasites using convolutional neural networks (CNNs) relies heavily on the quality of training annotations, yet creating quality annotations is both time-consuming and difficult to scale in high-burden, r...
An Improved Beta Burst Extraction for Chip-Based Deep Brain Stimulation With Real-Time Model Updating [0.03%]
基于芯片的深部脑刺激的改进Beta爆发提取方法及其实时模型更新技术
Yi-Huan Ou-Yang,Hsiao-Chun Lin,Chi-Wei Huang et al.
Yi-Huan Ou-Yang et al.
Goal: Existing beta burst detection algorithms for closed-loop deep brain stimulation (DBS) are computationally complex, limiting their use in implantable devices. We aimed to develop an improved beta burst extraction algorithm for chip-bas...
Transcranial Temporal Interference Stimulation: A Brief Review of Architectures, Circuits, and Application Challenges [0.03%]
经颅时域干扰刺激：架构、电路及其应用挑战简述
Arnau Diez-Clos,Simona Losacco,Alejandro D Fernandez Schrunder et al.
Arnau Diez-Clos et al.
Noninvasive neuromodulation methods are promising for treating neurological diseases, but generally have limited ability to selectively target deep brain structures such as the basal ganglia or hippocampus. Transcranial temporal Interferenc...
Noor Mohammed,Sunghoon Ivan Lee,Robert W Jackson et al.
Noor Mohammed et al.
Intra-body power transfer (IBPT) enables batteryless wearables by using the human body as a conductive medium. This work introduces Localized Capacitive Coupling (LCC), a new IBPT technique that uses a 40 MHz RF carrier to provide power tra...
Shared and Individual Resting-State MEG Network Signatures of Tinnitus Revealed by Holistic Graph Learning [0.03%]
整体图谱学习揭示的耳鸣共享和个体化静息态MEG网络特征
Payam S Shabestari,Harry H Behjat,Dimitri Van De Ville et al.
Payam S Shabestari et al.
Tinnitus, the perception of sound without an external source, affects many individuals, yet its impact on the brains functional connectome remains underexplored. Traditional functional connectivity (FC) methods, such as Pearson correlation,...
Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation [0.03%]
染色一致性学习：处理数字病理分割中的染色差异问题
Michael Yeung,Todd Watts,Sean Yw Tan et al.
Michael Yeung et al.
Stain variation poses a major challenge for automated digital pathology. Numerous techniques address this issue, yet show limited success, especially outside H&E stains and classification tasks. We propose Stain Consistency Learning (SCL), ...
Nicolas Hadjittoouli,Costas Pitris
Nicolas Hadjittoouli
Goal: Skull fractures, especially those involving the cranial base and facial regions, present significant diagnostic challenges due to the skull's complex anatomy and subtle radiographic findings. Accurate detection requires repeated and m...
Quantitative Analysis of the Impact of Region of Interest Information on Deep Learning Algorithms for Thyroid Ultrasound Imaging [0.03%]
基于区域感兴趣信息的甲状腺超声图像深度学习算法影响的定量分析方法研究
Hyunju Lee,Jin Young Kwak,Eunjung Lee
Hyunju Lee
Goal: To quantitatively assess the impact of incorporating radiologist-defined Region of Interest (ROI) information in training deep learning models for thyroid ultrasound image classification and lesion localization. ...
Augmented State-Space Modeling and Control of Latent Arousal States Under Inhibitory and Excitatory Conditions [0.03%]
抑制和兴奋条件下的潜在唤醒状态的增强型状态空间模型与控制
Hamid Fekri Azgomi,Anan Yaghmour,Rose T Faghih
Hamid Fekri Azgomi
Goal: In modern high-stress environments, effectively regulating cognitive arousal, through enhancement to boost engagement or inhibition to manage excessive stress, is essential for maintaining mental well-being and optimizing human perfor...
Clinical Applications of Deep Learning for Glottal Area Segmentation and Glottal Area Waveform Feature Computation [0.03%]
基于深度学习的声门面积信号分割和声门面积波形特征计算的临床应用研究
Ying-Chang Wu,Sheng-Fu Liang,Ming-Chi Cheng et al.
Ying-Chang Wu et al.
Goal: Analysis of the glottal area during vocal fold vibration has gained increasing attention. However, traditional analysis requires manual, frame-by-frame glottal area annotation to compute the glottal area waveform, a time-consuming, an...