Neuralizer: General Neuroimage Analysis without Re-Training

S Czolbe, AV Dalca - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Neuroimage processing tasks like segmentation, reconstruction, and registration are central
to the study of neuroscience. Robust deep learning strategies and architectures used to …

Learning global and local features of normal brain anatomy for unsupervised abnormality detection

K Kobayashi, R Hataya, Y Kurose, A Bolatkan… - arXiv preprint arXiv …, 2020 - arxiv.org
In real-world clinical practice, overlooking unanticipated findings can result in serious
consequences. However, supervised learning, which is the foundation for the current …

可辨識羽球球路之深度學習網路模型

陳奕安 - 2023 - nckur.lib.ncku.edu.tw
在東京奧運過後, 尤其是在羽球項目因為受到台灣羽球選手戴資穎, 周天成等人的優異表現帶動
下, 讓許多人想投入此項運動, 興起一波台灣羽球的熱潮. 為了協助觀眾在觀看羽球比賽時更了解 …

[引用][C] Towards intelligent tool detection in pituitary tumor surgery videos via self-supervised learning

A Syeda, M Masson-Forsythe, J Cook, JV Suarez… - Medical Imaging with Deep …, 2024

基於深度學習之動態超音波影像的電腦輔助正中神經即時偵測方法

HJ Tsai - 臺灣大學電子工程學研究所學位論文, 2021 - airitilibrary.com
Medical ultrasound examination is a very popular and effective diagnostic method
nowadays. Musculoskeletal ultrasound involves many parts of the body, complex anatomical …

Congenital heart defect recognition model based on YOLOV5

H Wu, B Wu, S He, P Liu - 2022 IEEE 16th International …, 2022 - ieeexplore.ieee.org
Congenital heart defect is an abnormality of the atrial ventricle or the large vascular structure
connected to it. It is currently the most common fetal congenital defect, and the incidence …

11 Deep Learning Algorithms for Brain Image Analysis

SD Akkineni, SPK Karri - 2021 - api.taylorfrancis.com
The human brain is the most complex yet powerful system regulating both physiological and
psychological aspects of our body. Over the years, several imaging systems (MRI, PET, CT …

Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery

MC Xu - arXiv preprint arXiv:2011.08129, 2020 - arxiv.org
Brain shift makes the pre-operative MRI navigation highly inaccurate hence the
intraoperative modalities are adopted in surgical theatre. Due to the excellent economic and …

Investigation of Feature Extraction methods for Classifying Brain Abnormalities in Ultrasound Brain Images using Signal Processing Network

J Jabez, RG Franklin, AR Doni… - … on Emerging Research …, 2023 - ieeexplore.ieee.org
A key a part of early analysis and treatment of neurological illnesses is the detection of
anomalies inside the mind through ultrasound scans. Using a Signal Processing Network …

VDVM: An automatic vertebrae detection and vertebral segment matching framework for C-arm X-ray image identification

R Zhang, Y Hu, K Zhang, G Lan, L Peng… - Journal of X-Ray …, 2023 - content.iospress.com
BACKGROUND: C-arm fluoroscopy, as an effective diagnosis and treatment method for
spine surgery, can help doctors perform surgery procedures more precisely. In clinical …