CORRIGENDUM: Correction of a Table of Contents in Section 5
Neurospine 2019;16(4):657-668
To the editor,
Thank you for publishing our article titled "Deep Learning in Medical Imaging" in volume 16 of December issue 2019. On page 663 of this article, we found a mistake in a table of contents at Section 5. The Section 5 should include ‘IMAGE TO IMAGE TRANSLATION WITHOUT USING GENERATIVE ADVERSARIAL NETWORK’ and ‘Image to Image Translation With Using GAN’ as subsections ‘1) Image to Image Translation Without Using GAN’ and ‘2) Image to Image Translation With Using GAN.’ At the time of submission, we checked this, but it missed at the publication. We forgot to check it at correction period. The mistake was not due to the editorial office of Neurospine. We attached an image with correction marking along with this letter to request correction of a table of contents in Section 5.
Your sincerely,
Namkug Kim
Corrected contents of Section 5 Corrected contents of Section 5
Citations
Citations to this article as recorded by
- Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar
Vorapat Trachoo, Unchalisa Taetragool, Ploypapas Pianchoopat, Chatchapon Sukitporn-udom, Narapathra Morakrant, Kritsasith Warin
International Dental Journal.2025; 75(1): 144. CrossRef - Deep convolutional neural network for automatic segmentation and classification of jaw tumors in contrast-enhanced computed tomography images
K. Warin, W. Limprasert, T. Paipongna, S. Chaowchuen, S. Vicharueang
International Journal of Oral and Maxillofacial Surgery.2025; 54(4): 374. CrossRef - Predicting buoyant jet characteristics: a machine learning approach
Hossein Hassanzadeh, Saptarshi Joshi, Seyed Mohammad Taghavi
Chemical Product and Process Modeling.2024; 19(2): 163. CrossRef - Deep learning in oral cancer- a systematic review
Kritsasith Warin, Siriwan Suebnukarn
BMC Oral Health.2024;[Epub] CrossRef - Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network
Miso Jang, Hyun-jin Bae, Minjee Kim, Seo Young Park, A-yeon Son, Se Jin Choi, Jooae Choe, Hye Young Choi, Hye Jeon Hwang, Han Na Noh, Joon Beom Seo, Sang Min Lee, Namkug Kim
Scientific Reports.2023;[Epub] CrossRef - Research on prognostic risk assessment model for acute ischemic stroke based on imaging and multidimensional data
Jiabin Liang, Jie Feng, Zhijie Lin, Jinbo Wei, Xun Luo, Qing Mei Wang, Bingjie He, Hanwei Chen, Yufeng Ye
Frontiers in Neurology.2023;[Epub] CrossRef - DCT-based medical image compression using machine learning
Kamil Dimililer
Signal, Image and Video Processing.2022; 16(1): 55. CrossRef - Performance of deep convolutional neural network for classification and detection of oral potentially malignant disorders in photographic images
K. Warin, W. Limprasert, S. Suebnukarn, S. Jinaporntham, P. Jantana
International Journal of Oral and Maxillofacial Surgery.2022; 51(5): 699. CrossRef - Artificial intelligence in breast cancer imaging: risk stratification, lesion detection and classification, treatment planning and prognosis—a narrative review
Maurizio Cè, Elena Caloro, Maria E. Pellegrino, Mariachiara Basile, Adriana Sorce, Deborah Fazzini, Giancarlo Oliva, Michaela Cellina
Exploration of Targeted Anti-tumor Therapy.2022; : 795. CrossRef - Classification of colorectal cancer in histological images using deep neural networks: an investigation
Sang-Hyun Kim, Hyun Min Koh, Byoung-Dai Lee
Multimedia Tools and Applications.2021; 80(28-29): 35941. CrossRef
