Literature survey on deep learning methods for liver segmentation from CT images: a comprehensive review
K SS, VK RS - Multimedia Tools and Applications, 2024 - Springer
Segmentation of the liver from computed tomography images is an essential and critical task
in medical image analysis, with significant implications for liver disease diagnosis and …
in medical image analysis, with significant implications for liver disease diagnosis and …
Semantic Segmentation of CT Liver Structures: A Systematic Review of Recent Trends and Bibliometric Analysis: Neural Network-based Methods for Liver Semantic …
JC Delmoral, JM RS Tavares - Journal of Medical Systems, 2024 - Springer
The use of artificial intelligence (AI) in the segmentation of liver structures in medical images
has become a popular research focus in the past half-decade. The performance of AI tools in …
has become a popular research focus in the past half-decade. The performance of AI tools in …
F2M: Ensemble-based uncertainty estimation model for fire detection in indoor environments
Early fire detection and timely notification are paramount for preventing human and material
casualties caused by fire. As a result, scientists have developed various fire monitoring …
casualties caused by fire. As a result, scientists have developed various fire monitoring …
Deep learning algorithm for differentiating patients with a healthy liver from patients with liver lesions based on MR images
Simple Summary We propose an automated system that handles numerous problems
encountered when diagnosing the presence of numerous types of lesions in the liver based …
encountered when diagnosing the presence of numerous types of lesions in the liver based …
Semi-supervised segmentation of metal-artifact contaminated industrial CT images using improved CycleGAN
SB Jiang, YW Sun, S Xu, HX Zhang… - Journal of X-Ray …, 2024 - content.iospress.com
Accurate segmentation of industrial CT images is of great significance in industrial fields
such as quality inspection and defect analysis. However, reconstruction of industrial CT …
such as quality inspection and defect analysis. However, reconstruction of industrial CT …
Inception Inspired U-Net for Effective Segmentation of Microscopy Images
AK Kakumani, LP Sree - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Biomedical image analysis has vital role in medical diagnosis. Computerized tools for
automatic analysis of biomedical images helps the radiologist for the disease identification …
automatic analysis of biomedical images helps the radiologist for the disease identification …