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Showing 19 of 59 academic articles

SFCN: Symmetric feature comparison network for detecting ischemic stroke lesions on CT images

Long Zhang, Chuang Zhu, YueWei Wu, Yang Yang et al. • IET Image Processing (2021)

Abstract Ischemic stroke is the most common stroke and the leading cause of disability and death in the world. Computed tomography (CT) is a popular and economical diagnostic device for the stroke, However the ischemic stroke lesions are no...

DOAJ Open Access (DOAJ) DOI: 10.1049/ipr2.12267

Crowdsourcing in Computer Vision

Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Lorraine Grauman • now publishers, Inc. eBooks (2016)

Computer vision systems require large amounts of manually annotated data to properly learn challenging visual concepts. Crowdsourcing platforms offer an inexpensive method to capture human knowledge and understanding, for a vast number of v...

OPENALEX Open Access DOI: https://doi.org/10.1561/9781680832136

Deep Learning-Driven Data Curation and Model Interpretation for Smart Manufacturing

Jianjing Zhang, Robert X. Gao • Chinese Journal of Mechanical Engineering (2021)

Abstract Characterized by self-monitoring and agile adaptation to fast changing dynamics in complex production environments, smart manufacturing as envisioned under Industry 4.0 aims to improve the throughput and reliability of production b...

DOAJ Open Access (DOAJ) DOI: 10.1186/s10033-021-00587-y

SPAF-SegNeXt: Prior-Guided Attention and Frequency-Spatial Hybrid Fusion for Multimodal Sugarcane Segmentation in Remote Sensing

Wei Zhang, Chao Ren, Haoming Bai, Huada Huang et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

Accurate monitoring of the spatial extent of sugarcane cultivation is critical for optimizing land-use efficiency and regulating the sugar industry. However, sugarcane cultivation areas are characterized by complex topography and fragmented...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3716367

Weed Detection from Unmanned Aerial Vehicle Imagery Using Deep Learning—A Comparison between High-End and Low-Cost Multispectral Sensors

Anna Teresa Seiche, Lucas Wittstruck, Thomas Jarmer • Sensors (2024)

In order to meet the increasing demand for crops under challenging climate conditions, efficient and sustainable cultivation strategies are becoming essential in agriculture. Targeted herbicide use reduces environmental pollution and effect...

DOAJ Open Access (DOAJ) DOI: 10.3390/s24051544

Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease

Clara Muñoz-Castro, Ayush Noori, Colin G. Magdamo, Zhaozhi Li et al. • Journal of Neuroinflammation (2022)

Abstract Background Astrocytes and microglia react to Aβ plaques, neurofibrillary tangles, and neurodegeneration in the Alzheimer’s disease (AD) brain. Single-nuclei and single-cell RNA-seq have revealed multiple states or subpopulations of...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12974-022-02383-4

Efficacy of ChatGPT in Cantonese Sentiment Analysis: Comparative Study

Ziru Fu, Yu Cheng Hsu, Christian S Chan, Chaak Ming Lau et al. • Journal of Medical Internet Research (2024)

BackgroundSentiment analysis is a significant yet difficult task in natural language processing. The linguistic peculiarities of Cantonese, including its high similarity with Standard Chinese, its grammatical and lexical uniqueness, and its...

DOAJ Open Access (DOAJ) DOI: 10.2196/51069

Automated cell type annotation and exploration of single-cell signaling dynamics using mass cytometry

Dimitrios Kleftogiannnis, Sonia Gavasso, Benedicte Sjo Tislevoll, Nisha van der Meer et al. • iScience (2024)

Summary: Mass cytometry by time-of-flight (CyTOF) is an emerging technology allowing for in-depth characterization of cellular heterogeneity in cancer and other diseases. Unfortunately, high-dimensional analyses of CyTOF data remain quite d...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.isci.2024.110261

Automated shape-based clustering of 3D immunoglobulin protein structures in chronic lymphocytic leukemia

Eleftheria Polychronidou, Ilias Kalamaras, Andreas Agathangelidis, Lesley-Ann Sutton et al. • BMC Bioinformatics (2018)

Abstract Background Although the etiology of chronic lymphocytic leukemia (CLL), the most common type of adult leukemia, is still unclear, strong evidence implicates antigen involvement in disease ontogeny and evolution. Primary and 3D stru...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-018-2381-1

Identification of arachidonic acid metabolism-related diagnostic markers in heart failure based on bioinformatics analysis and machine learning

Saiqing Chen, Chunxia Zhang, Yueting Yu • Frontiers in Cardiovascular Medicine (2025)

BackgroundHeart failure (HF) represents the terminal phase of multiple cardiovascular conditions and is associated with significant morbidity and mortality rates. Arachidonic acid (AA), an essential fatty acid, plays a crucial role in modul...

DOAJ Open Access (DOAJ) DOI: 10.3389/fcvm.2025.1625064

Deep Learning for Automatic Vision-Based Recognition of Industrial Surface Defects: A Survey

Michela Prunella, Roberto Maria Scardigno, Domenico Buongiorno, Antonio Brunetti et al. • IEEE Access (2023)

Automatic vision-based inspection systems have played a key role in product quality assessment for decades through the segmentation, detection, and classification of defects. Historically, machine learning frameworks, based on hand-crafted ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3271748

Artificial Intelligence for Intraoperative Guidance

Amin Madani, Babak Namazi, Maria S. Altieri, Daniel A. Hashimoto et al. • Annals of Surgery (2020)

OBJECTIVE: The aim of this study was to develop and evaluate the performance of artificial intelligence (AI) models that can identify safe and dangerous zones of dissection, and anatomical landmarks during laparoscopic cholecystectomy (LC)....

OPENALEX Open Access DOI: https://doi.org/10.1097/sla.0000000000004594 PMC: 8186165

Egocentric Hand Activity Video Dataset and Bidirectional Motion-Priors for Hand Action Recognition

Jiyoung Seo, Dong In Lee, Pilhyeon Lee, Jiwoo Lee et al. • IEEE Access (2026)

Recognizing tool-based hand activities from a first-person view is a critical yet challenging task in computer vision, due to the complexity of hand-object interactions and often subtle, ambiguous motion patterns. In real-world manufacturin...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3652803