Results 41 to 50 of about 18,646,034 (305)

Design and Development of Medical Image Processing Experiment System Based on IDL Language [PDF]

International Journal Bioautomation, 2019
This paper uses Interactive Data Language (IDL) as a development language to design and implement a lung tumor image processing system with a Client/Server (C/S) structure.
Wei Xie
doaj   +1 more source

Automatic Thalamus Segmentation from Magnetic Resonance Images Using Multiple Atlases Level Set Framework (MALSF)

Scientific Reports, 2017
In this paper, we present an original multiple atlases level set framework (MALSF) for automatic, accurate and robust thalamus segmentation in magnetic resonance images (MRI). The contributions of the MALSF method are twofold.
Minghui Zhang, Zhentai Lu, Qianjin Feng, Yu Zhang   +3 more
doaj   +1 more source

Lumbar Disc Herniation Automatic Detection in Magnetic Resonance Imaging Based on Deep Learning

Frontiers in Bioengineering and Biotechnology, 2021
Background: Lumbar disc herniation (LDH) is among the most common causes of lower back pain and sciatica. The causes of LDH have not been fully elucidated but most likely involve a complex combination of mechanical and biological processes.
Jen-Yung Tsai, Isabella Yu-Ju Hung, Yue Leon Guo, Yue Leon Guo, Yue Leon Guo, Yih-Kuen Jan, Chih-Yang Lin, Tiffany Ting-Fang Shih, Bang-Bin Chen, Chi-Wen Lung, Chi-Wen Lung   +10 more
doaj   +1 more source

Preoperative visualization of mammary artery for breast reduction surgery based on computed tomography angiography

The Egyptian Journal of Radiology and Nuclear Medicine
Background Macromastia, characterized by an increase in breast size, poses challenges such as elevated body burden and chest oppression, potentially leading to cardiac and pulmonary overload.
Xiaoshi Li, Jigang Geng, Dayong Jin, Yinhu Zhu, Xin Li, Lei Wang, Yue Qin   +6 more
doaj   +1 more source

Cache-Enabled Device to Device Networks With Contention-Based Multimedia Delivery

IEEE Access, 2017
This paper studies the performance of large-scale cache-enabled device-to-device (D2D) networks with homogeneous Poisson point process distributed mobile helpers(MHs) and user equipments (UEs). The MHs are assumed to have caching capabilities and able to
Xiaoshi Song, Yuting Geng, Xiangbo Meng, Jun Liu, Weimin Lei, Yingyou Wen   +5 more
doaj   +1 more source

Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning

Frontiers in Artificial Intelligence, 2021
Cervical cancer is a very common and severe disease in women worldwide. Accurate prediction of its clinical outcomes will help adjust or optimize the treatment of cervical cancer and benefit the patients.
Wei Luo
doaj   +1 more source

Medical-Image-Analysis-Laboratory/FaBiAN: FaBiAN v1.2

, 2023
<h2>What's Changed</h2> <ul> <li>FIX: order of reference maps returned by tissue_to_MR.m when sampling K-space by @helenelajous in https://github.com/Medical-Image-Analysis-Laboratory/FaBiAN/pull/3</li> </ul> <h3>
Bach Cuadra, Meritxell, Lajous, Hélène, Roy, Christopher W., Yerly, Jérôme   +3 more
core   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

Pediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz, Se Whee Sammy Park, Aironas Los, Ernest Liu, Nona Struyf, Tom Erkers, Sören Lehmann, Jan J. Molenaar, Jakob Stenman, Olli Kallioniemi, Päivi Östling, Brinton Seashore‐Ludlow, Kasper Karlsson   +12 more
wiley   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source