Review
Radiology, Nuclear Medicine & Medical Imaging
Paul L. L. Carson
Summary: This article provides a brief overview of the author's work in ultrasound imaging and therapy, as well as the role of this journal in these fields.
Article
Environmental Sciences
Yue Li, Xiaorui Wang, Chao Zhang
Summary: Accurate grading of remote sensing image interpretation is crucial for improving image classification and screening efficiency. This paper introduces the Target Task Performance (TTP) criterion to reflect the cascading degradation factors of human visual perception characteristics and system imaging links, improving the reliability of the model. A New Optimized Remote Sensing Image Quality Equation (NORSIQE) is constructed and shows a significant improvement compared to the existing model.
Article
Engineering, Electrical & Electronic
Licheng Jiao, Zhongjian Huang, Xu Liu, Yuting Yang, Mengru Ma, Jiaxuan Zhao, Chao You, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Xiangrong Zhang, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng
Summary: This article summarizes and analyzes the essential properties of brain cognize learning and the recent advance of remote sensing interpretation. It introduces the brain's structural composition and properties, and studies five representative brain-inspired algorithms. The article also summarizes the data types of remote sensing, the development of typical applications, and discusses the future direction of brain-inspired remote sensing interpretation.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Emergency Medicine
Mark A. Magee, Arthur K. Au, Lillian Flashner, Kelly Goodsell, Jamie Huot, Rishi M. Kalwani, Resa E. Lewiss, Zachary W. Risler
Summary: This study aimed to assess how screen size affects the ability of emergency medicine clinicians to interpret US videos accurately. The results showed no significant difference in accuracy or time spent interpreting between phone-sized and laptop-sized screens.
AMERICAN JOURNAL OF EMERGENCY MEDICINE
(2022)
Article
Computer Science, Hardware & Architecture
Xianghe Ma
Summary: Digital image processing plays a significant role in various fields, particularly in remote sensing image processing, involving the acquisition, enhancement, analysis, encoding, transmission, and storage of remote sensing images. However, the large volume of images produced by ultra-high resolution optical remote sensing satellites poses challenges for existing transmission, storage, and processing technologies. This paper proposes a spatio-temporal compression pipeline for remote sensing images, using lossy compression methods with ultra-high compression ratios to reduce overhead and maintain the image quality. Experimental results demonstrate that the proposed method outperforms classical image compression techniques like JPEG-2000.
Article
Obstetrics & Gynecology
Cecilia B. Leggett, Mariam Naqvi, Tania F. Esakoff, Marcio A. Diniz, Melissa S. Wong
Summary: This study evaluated the reliability of personal-device-based point-of-care ultrasound devices in obstetrics. The results demonstrated near-perfect agreement and correlation between the estimated fetal weights obtained from these devices and standard ultrasound machines. Therefore, personal-device-based point-of-care ultrasound devices have the potential to increase access to obstetric ultrasound worldwide.
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Ming Kong, Qing Guo, Shuowen Zhou, Mengze Li, Kun Kuang, Zhengxing Huang, Fei Wu, Xiaohong Chen, Qiang Zhu
Summary: Diagnosing thyroid nodules from ultrasound images is a crucial task in computer-aided diagnosis. Previous research aimed to improve diagnosis performance by considering key attributes and explaining conclusions. However, they lacked consideration of the correlation between attribute features and global characteristics, as well as clinical effectiveness evaluation. In this study, we propose a novel Attribute-Aware Interpretation Learning (AAIL) model that includes attribute properties discovery and attribute-global feature fusion modules. Extensive experiments demonstrate the effectiveness of the model, and a human-computer collaborative experiment shows the auxiliary diagnostic ability of the interpretations.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2022)
Article
Oncology
Tianlong Ji, Ziwei Feng, Edward Sun, Sook Kien Ng, Lin Su, Yin Zhang, Dong Han, Sarah Han-Oh, Iulian Iordachita, Junghoon Lee, Peter Kazanzides, Muyinatu A. Lediju Bell, John Wong, Kai Ding
Summary: In this study, the accuracy of ultrasound tracking for pancreatic tumor motion during radiotherapy was evaluated using a phantom-based study. The results showed that the ultrasound tracking system had highly accurate monitoring results, indicating its potential as a real-time monitoring method for radiation dose delivery.
FRONTIERS IN ONCOLOGY
(2022)
Article
Environmental Sciences
Jianchong Wei, Yi Wu, Liang Chen, Kunping Yang, Renbao Lian
Summary: Image dehazing is crucial for advanced applications on remote sensing images. In this paper, a zero-shot dehazing method is proposed based on a re-degradation haze imaging model, which directly restores the haze-free image from a single hazy image. The method outperforms state-of-the-art methods in processing uniform or slight/moderate non-uniform remote sensing hazy images.
Review
Computer Science, Information Systems
Xian Sun, Yu Tian, Wanxuan Lu, Peijin Wang, Ruigang Niu, Hongfeng Yu, Kun Fu
Summary: This paper introduces the importance of multimodal observation in remote sensing and highlights the differences between single- and multimodal RS imagery interpretation. A cascaded structure research survey on multimodal RS imagery interpretation is conducted based on these differences. Finally, potential future research directions are explored.
SCIENCE CHINA-INFORMATION SCIENCES
(2023)
Review
Environmental Sciences
Sixu Liu, Yanan You, Haozheng Su, Gang Meng, Wei Yang, Fang Liu
Summary: This article introduces the development and important methods of few-shot object detection in remote sensing images, proposing a wide research technique route and discussing and summarizing aspects such as sample acquisition, model design, and learning strategy.
Article
Engineering, Electrical & Electronic
Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, Deren Li
Summary: This article discusses how to efficiently prepare a suitable benchmark dataset for remote sensing (RS) image interpretation, presenting general guidances on creating benchmark datasets and providing an example of a Million Aerial Image Dataset. It also addresses challenges and perspectives in RS image annotation to facilitate research in benchmark dataset construction.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Multidisciplinary Sciences
Haiqin Li, Yaping Zhang, Jiatao Liu, Yuanjie Ma
Summary: Existing dehazing algorithms are not effective for remote sensing images (RSIs) with dense haze, and dehazed results are prone to over-enhancement, color distortion, and artifacts. To tackle these problems, we propose a model GTMNet based on convolutional neural networks (CNNs) and vision transformers (ViTs), combined with dark channel prior (DCP) to achieve good performance. Our method shows comparable results with the state-of-the-art model Dehazeformer-L but with only 0.1 times of parameter quantity on sub-datasets of Moderate Fog and Thick Fog.
SCIENTIFIC REPORTS
(2023)
Review
Health Care Sciences & Services
Marco Di Serafino, Giuseppina Dell'Aversano Orabona, Martina Caruso, Costanza Camillo, Daniela Viscardi, Francesca Iacobellis, Roberto Ronza, Vittorio Sabatino, Luigi Barbuto, Gaspare Oliva, Luigia Romano
Summary: In intensive care units (ICUs), imaging plays a crucial role in the care of critically ill patients, with computed tomography (CT) being the gold standard for diagnosis and portable chest X-ray (CXR) remaining an essential diagnostic tool. Point-of-care lung ultrasound (LUS) has also gained popularity in ICUs for guiding procedures, diagnosis, and screening at the bedside, improving the interpretation and monitoring of lung CXR findings.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Review
Optics
Yan Li, Gengxi Lu, Qifa Zhou, Zhongping Chen
Summary: Photoacoustic imaging, combined with the advantages of ultrasound imaging, provides high molecular contrast and shows great potential in various applications. Endoscopic PA technology allows direct imaging of visceral tissues for functional and molecular imaging, making it a promising medical imaging technique for the future.
