Results 61 to 70 of about 23,891 (225)

Multi-Resolution and Semantic-Aware Bidirectional Adapter for Multi-Scale Object Detection

, 2023
Scale variation presents a significant challenge in object detection. To address this, multi-level feature fusion techniques have been proposed, exemplified by methods such as the feature pyramid network (FPN) and its extensions.
Peidong He, Ziqi Zhang, Bing Li, Jin Pan, Chunlu Zhao, Zekun Li   +5 more
core   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui, Yang Cui, Ruheng Wang, Xin Zeng, Zheyong Zhu, Ding Yi, Ruihua Guo, Tetsuya Sakurai, Kenta Nakai, Xiucai Ye, Leyi Wei, Yong Chen   +11 more
wiley   +1 more source

Mask Detection Method Based on YOLO-GBC Network

, 2023
For the problems of inaccurate recognition and the high missed detection rate of existing mask detection algorithms in actual scenes, a novel mask detection algorithm based on the YOLO-GBC network is proposed.
Maoxuan Sun, Zhonghao Cao, Kunyu He, Changqing Wang, Meng Wang, Bei Zhang, Yuan Cao   +6 more
core   +1 more source

The Serotonin 2B (5‐HT2B) Receptor: A Narrative Review of Preclinical and Clinical Evidence on the Safety Considerations and Therapeutic Potential for the Treatment of Depression

Clinical Pharmacology &Therapeutics, EarlyView.
Major depressive disorder (MDD) and treatment‐resistant depression (TRD) remain leading causes of disability, providing the impetus for receptor‐level treatment strategies beyond monoamine reuptake. The serotonin 5‐HT2B receptor (5‐HT2BR) is uniquely positioned at the interface of central‐antidepressant mechanisms and peripheral cardiac risks.
Gia Han Le, Sabrina Wong, Danica E. Johnson, Diana K. Orsini, Yang Jing Zheng, Kayla M. Teopiz, Christine E. Dri, Joshua D. Rosenblat, Roger S. McIntyre   +8 more
wiley   +1 more source

Traffic sign′s detection method based on Darknet23 and feature fusion

, 2023
Road traffic sign′s detection is one of the important links of intelligent transportation. A detection method based on the improved YOLOv3 model by the industry is proposed for the problems of complex background, small targets and slow detection speed in
Jiang Jinmao, Ren Weimin, Zhong Guoyun, Du Tingting   +3 more
core   +1 more source

KCNJ4 variants disrupt inward‐rectifier potassium channel function and cause refractory epilepsy

Epilepsia, EarlyView.
Abstract Objective Epilepsy is a common neurological disorder with a strong genetic basis, most frequently arising from ion channel dysfunction. Although multiple inwardly rectifying potassium (Kir) channels have been implicated in epileptogenesis, the contribution of KCNJ4, which encodes the Kir2.3 channel, has not previously been established in human
Hu Pan, Deng Liu, Wuhen Xu, Yang Li, Juanli Hu, Oppermann Henry, Alexander Fuchs, Rami Abou Jamra, Zhen Liu, Mei He, Yuanlu Chen, Shengnan Wu, Xiaohuan Dong, Yiqiao Chen, Pengchao Wang, Weiyue Gu, Han Jing, Yabing Tang, Ya‐Jie Wang, Xiao Mao, Neng Xiao   +20 more
wiley   +1 more source

AEB-YOLO: An efficient multi-scale defect detection algorithm for copper strips

AIP Advances
To address the challenges of low efficiency in detecting surface defects on copper strips in industrial settings, inadequate recognition of small targets, and excessive model parameters, this paper proposes a lightweight algorithm, AEB-YOLOv8n. First, an
Bo Zhou, Hu Chen, Jianqing Luo, Peizheng Li, Binbin Xiang, Kai Li   +5 more
doaj   +1 more source

Underwater small objects detection based on self-attention and improved pyramid network

Shenzhen Daxue xuebao. Ligong ban
Addressing the challenges of limited feature information and decreased detection accuracy in underwater small object detection tasks due to underwater environmental effects, we propose an underwater small object detection algorithm SF-Bi-YOLOv8 based on ...
DU Ruishan, WANG Zishan, MENG Lingdong, JING Yuanguang   +3 more
doaj   +1 more source

Absence seizures: Update on signaling mechanisms and networks

Epilepsia Open, EarlyView.
Abstract Absence seizures (AS) are a hallmark of genetic generalized epilepsies (GGE), characterized by brief episodes of impaired consciousness accompanied by electroencephalographic spike‐and‐wave discharges (SWDs). Traditionally attributed to cortico‐thalamo‐cortical (CTC) dysrhythmia, emerging evidence suggests a more intricate pathophysiological ...
Ozlem Akman, Filiz Onat
wiley   +1 more source