Search Results - "Journal of Digital Imaging"

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges by Hesamian, Mohammad Hesam, Jia, Wenjing, He, Xiangjian, Kennedy, Paul

“…Deep learning-based image segmentation is by now firmly established as a robust tool in image segmentation. It has been widely used to separate homogeneous…”
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Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions by Akkus, Zeynettin, Galimzianova, Alfiia, Hoogi, Assaf, Rubin, Daniel L., Erickson, Bradley J.

“…Quantitative analysis of brain MRI is routine for many neurological diseases and conditions and relies on accurate segmentation of structures of interest. Deep…”
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Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network by Alom, Md Zahangir, Yakopcic, Chris, Nasrin, Mst. Shamima, Taha, Tarek M., Asari, Vijayan K.

“…The Deep Convolutional Neural Network (DCNN) is one of the most powerful and successful deep learning approaches. DCNNs have already provided superior…”
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SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research by Yaniv, Ziv, Lowekamp, Bradley C., Johnson, Hans J., Beare, Richard

“…Modern scientific endeavors increasingly require team collaborations to construct and interpret complex computational workflows. This work describes an…”
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The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository by Clark, Kenneth, Vendt, Bruce, Smith, Kirk, Freymann, John, Kirby, Justin, Koppel, Paul, Moore, Stephen, Phillips, Stanley, Maffitt, David, Pringle, Michael, Tarbox, Lawrence, Prior, Fred

“…The National Institutes of Health have placed significant emphasis on sharing of research data to support secondary research. Investigators have been…”
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Fully Automated Deep Learning System for Bone Age Assessment by Lee, Hyunkwang, Tajmir, Shahein, Lee, Jenny, Zissen, Maurice, Yeshiwas, Bethel Ayele, Alkasab, Tarik K., Choy, Garry, Do, Synho

“…Skeletal maturity progresses through discrete phases, a fact that is used routinely in pediatrics where bone age assessments (BAAs) are compared to…”
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Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification by Mzoughi, Hiba, Njeh, Ines, Wali, Ali, Slima, Mohamed Ben, BenHamida, Ahmed, Mhiri, Chokri, Mahfoudhe, Kharedine Ben

“…Accurate and fully automatic brain tumor grading from volumetric 3D magnetic resonance imaging (MRI) is an essential procedure in the field of medical imaging…”
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Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network by Yi, Xin, Babyn, Paul

“…Low-dose computed tomography (LDCT) has offered tremendous benefits in radiation-restricted applications, but the quantum noise as resulted by the insufficient…”
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Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network by Chi, Jianning, Walia, Ekta, Babyn, Paul, Wang, Jimmy, Groot, Gary, Eramian, Mark

“…With many thyroid nodules being incidentally detected, it is important to identify as many malignant nodules as possible while excluding those that are highly…”
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Classification of Skin Lesions into Seven Classes Using Transfer Learning with AlexNet by Hosny, Khalid M., Kassem, Mohamed A., Fouad, Mohamed M.

“…Melanoma is deadly skin cancer. There is a high similarity between different kinds of skin lesions, which lead to incorrect classification. Accurate…”
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Applying Modern Virtual and Augmented Reality Technologies to Medical Images and Models by Sutherland, Justin, Belec, Jason, Sheikh, Adnan, Chepelev, Leonid, Althobaity, Waleed, Chow, Benjamin J. W., Mitsouras, Dimitrios, Christensen, Andy, Rybicki, Frank J., La Russa, Daniel J.

“…Recent technological innovations have created new opportunities for the increased adoption of virtual reality (VR) and augmented reality (AR) applications in…”
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Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight by Sharma, Shallu, Mehra, Rajesh

“…Automatic multi-classification of breast cancer histopathological images has remained one of the top-priority research areas in the field of biomedical…”
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Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks by Son, Jaemin, Park, Sang Jun, Jung, Kyu-Hwan

“…Automatic segmentation of the retinal vasculature and the optic disc is a crucial task for accurate geometric analysis and reliable automated diagnosis. In…”
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Stochastic Dilated Residual Ghost Model for Breast Cancer Detection by Kashyap, Ramgopal

“…One of the most contentious issues in modern medicine is how to effectively standardise breast cancer screening. Deep learning models are already saving lives…”
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Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation by Jeong, Jiwoong J., Tariq, Amara, Adejumo, Tobiloba, Trivedi, Hari, Gichoya, Judy W., Banerjee, Imon

“…In recent years, generative adversarial networks (GANs) have gained tremendous popularity for various imaging related tasks such as artificial image generation…”
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Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images by Cheng, Phillip M., Malhi, Harshawn S.

“…The purpose of this study is to evaluate transfer learning with deep convolutional neural networks for the classification of abdominal ultrasound images…”
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Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session by Kohli, Marc D., Summers, Ronald M., Geis, J. Raymond

“…At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in September 2016, a conference session on medical image data and…”
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Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT by Umehara, Kensuke, Ota, Junko, Ishida, Takayuki

“…In this study, the super-resolution convolutional neural network (SRCNN) scheme, which is the emerging deep-learning-based super-resolution method for…”
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Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models by Cho, Junghwan, Park, Ki-Su, Karki, Manohar, Lee, Eunmi, Ko, Seokhwan, Kim, Jong Kun, Lee, Dongeun, Choe, Jaeyoung, Son, Jeongwoo, Kim, Myungsoo, Lee, Sukhee, Lee, Jeongho, Yoon, Changhyo, Park, Sinyoul

“…Highly accurate detection of the intracranial hemorrhage without delay is a critical clinical issue for the diagnostic decision and treatment in an emergency…”
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Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study by Kaplan, Sydney, Zhu, Yang-Ming

“…Positron emission tomography (PET) imaging is an effective tool used in determining disease stage and lesion malignancy; however, radiation exposure to…”
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