Auditory brainstem response data preprocessing method for the automatic classification of hearing loss patients

J Ma, JH Seo, IJ Moon, MK Park, JB Lee, H Kim… - Diagnostics, 2023 - mdpi.com
Auditory brainstem response (ABR) is the response of the brain stem through the auditory
nerve. The ABR test is a method of testing for loss of hearing through electrical signals …

Anatomical-Aware Point-Voxel Network for Couinaud Segmentation in Liver CT

X Zhang, Y Liu, S Ali, X Zhao, M Sun, M Han… - … Conference on Medical …, 2023 - Springer
Accurately segmenting the liver into anatomical segments is crucial for surgical planning
and lesion monitoring in CT imaging. However, this is a challenging task as it is defined …

[HTML][HTML] Deep learning for fully automated segmentation and volumetry of couinaud liver segments and future liver remnants shown with CT before major hepatectomy …

T Xie, Y Li, Z Lin, X Liu, X Zhang, Y Zhang… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Recent reports have shown the potential for deep learning (DL) models to
automatically segment of Couinaud liver segments and future liver remnant (FLR) for liver …

[PDF][PDF] Cardiac CT Image Segmentation for Deep Learning-Based Coronary Calcium Detection Using K-Means Clustering and Grabcut Algorithm.

S Lee, A Lee, M Hong - Computer Systems Science & …, 2023 - cdn.techscience.cn
Specific medical data has limitations in that there are not many numbers and it is not
standardized. to solve these limitations, it is necessary to study how to efficiently process …

An improvement method for pancreas CT segmentation using superpixel-based active contour

H Gao, J Li, N Shen, L Liu, Y Yang… - Physics in Medicine & …, 2024 - iopscience.iop.org
Objective. Pancreas is one of the most challenging organs for Computed Tomograph (CT)
image automatic segmentation due to its complex shapes and fuzzy edges. It is simple and …

Cardiac detection using YOLO-v5 with data preprocessing

S Lee, J Xibin, A Lee, HW Gil, S Kim… - 2022 International …, 2022 - ieeexplore.ieee.org
Currently, interest in medical-related deep learning is dramatically increasing. Although this
interest in deep learning is widely used in other fields, but it is very effective in medical …

Robust Liver Segmentation Using Boundary Preserving Dual Attention Network

Y Yang, X Jia, L Wang - Chinese Conference on Pattern Recognition and …, 2022 - Springer
Accurate liver segmentation is essential for the diagnosis and treatment planning of liver
diseases. Recently, deep-learning-based segmentation methods have achieved state-of-the …

A Multi-Task Based Deep Learning Framework for MRI Couinaud Segmentation

D Miao, Y Zhao, X Ren, M Dou, Y Yao, Y Xu… - Available at SSRN … - papers.ssrn.com
Abstract Bacground and Objectibve: The delineation of the liver into Couinaud segments
constitutes an essential aspect of preoperative planning in hepatic surgery, given its …