对 "用于疾病分类的多分支可持续卷积神经网络 "的更正

IF 3 4区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Imaging Systems and Technology Pub Date : 2024-08-06 DOI:10.1002/ima.23153

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引用次数: 0

摘要

M.M.Naz、M.A.Shah、H.A.Khattak 等人，"用于疾病分类的多分支可持续卷积神经网络"，《国际成像系统与技术杂志》第 33 期，第 5 号（2023 年）："用于疾病分类的多分支可持续卷积神经网络"。5 (2023):1621-1633, https://doi.org/10.1002/ima.22884.The Hafiz Tayyab Rauf 的隶属关系应为：英国独立研究员。正确的作者名单和单位如下。Maria Naz1 | Munam Ali Shah1 | Hasan Ali Khattak2 | Abdul Wahid2,3 | Muhammad Nabeel Asghar4 | Hafiz Tayyab Rauf5 | Muhammad Attique Khan6 | Zoobia Ameer71Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan2School of Electrical Engineering &；计算机科学 (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan3School of Computer Science, University of Birmingham, Dubai, United Arab Emirates4Department of Computer Science, Bahauddin Zakariya University, Multan, Pakistan5Independent Researcher, UK6HITEC University Taxila, Taxila, Pakistan7Shaed Benazir Bhutto Women University Peshawar, Peshawar, PakistanWe apologize for this error.

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Correction to “Multi-Branch Sustainable Convolutional Neural Network for Disease Classification”

M. Naz, M. A. Shah, H. A. Khattak, et al., “Multi-Branch Sustainable Convolutional Neural Network for Disease Classification,” International Journal of Imaging Systems and Technology 33, no. 5 (2023): 1621–1633, https://doi.org/10.1002/ima.22884.

The affiliation of Hafiz Tayyab Rauf should be: Independent Researcher, UK. The correct author list and affiliations appear below.

¹Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan

²School of Electrical Engineering & Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan

³School of Computer Science, University of Birmingham, Dubai, United Arab Emirates

⁴Department of Computer Science, Bahauddin Zakariya University, Multan, Pakistan

⁵Independent Researcher, UK

⁶HITEC University Taxila, Taxila, Pakistan

⁷Shaheed Benazir Bhutto Women University Peshawar, Peshawar, Pakistan

We apologize for this error.

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来源期刊

International Journal of Imaging Systems and Technology 工程技术-成像科学与照相技术

CiteScore

6.90

自引率

6.10%

发文量

138

审稿时长

3 months

期刊介绍： The International Journal of Imaging Systems and Technology (IMA) is a forum for the exchange of ideas and results relevant to imaging systems, including imaging physics and informatics. The journal covers all imaging modalities in humans and animals. IMA accepts technically sound and scientifically rigorous research in the interdisciplinary field of imaging, including relevant algorithmic research and hardware and software development, and their applications relevant to medical research. The journal provides a platform to publish original research in structural and functional imaging. The journal is also open to imaging studies of the human body and on animals that describe novel diagnostic imaging and analyses methods. Technical, theoretical, and clinical research in both normal and clinical populations is encouraged. Submissions describing methods, software, databases, replication studies as well as negative results are also considered. The scope of the journal includes, but is not limited to, the following in the context of biomedical research: Imaging and neuro-imaging modalities: structural MRI, functional MRI, PET, SPECT, CT, ultrasound, EEG, MEG, NIRS etc.; Neuromodulation and brain stimulation techniques such as TMS and tDCS; Software and hardware for imaging, especially related to human and animal health; Image segmentation in normal and clinical populations; Pattern analysis and classification using machine learning techniques; Computational modeling and analysis; Brain connectivity and connectomics; Systems-level characterization of brain function; Neural networks and neurorobotics; Computer vision, based on human/animal physiology; Brain-computer interface (BCI) technology; Big data, databasing and data mining.