Auditory brainstem response data preprocessing method for the automatic classification of hearing loss patients
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 …
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
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 …
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 …
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.
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 …
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 …
image automatic segmentation due to its complex shapes and fuzzy edges. It is simple and …
Cardiac detection using YOLO-v5 with data preprocessing
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 …
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
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 …
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 …
constitutes an essential aspect of preoperative planning in hepatic surgery, given its …