An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks
JDL Araújo, LB da Cruz, JL Ferreira… - Expert Systems with …, 2021 - Elsevier
Liver cancer is one of the major causes of death by cancer. The early detection of lesions in
the liver provides a better chance of treatment and cure of the disease. Computed …
the liver provides a better chance of treatment and cure of the disease. Computed …
[HTML][HTML] Automatic segmentation of liver tumor in CT images with deep convolutional neural networks
W Li, F Jia, Q Hu - Journal of Computer and Communications, 2015 - scirp.org
Liver tumors segmentation from computed tomography (CT) images is an essential task for
diagnosis and treatments of liver cancer. However, it is difficult owing to the variability of …
diagnosis and treatments of liver cancer. However, it is difficult owing to the variability of …
Computer-aided segmentation of liver lesions in CT scans using cascaded convolutional neural networks and genetically optimised classifier
N Nanda, P Kakkar, S Nagpal - Arabian Journal for Science and …, 2019 - Springer
Abdominal CT scans have been widely studied and researched by medical professionals in
recent years. CT scans have proved effective for the task of detection of liver abnormalities in …
recent years. CT scans have proved effective for the task of detection of liver abnormalities in …
Liver segmentation from computed tomography images using cascade deep learning
JDL Araújo, LB da Cruz, JOB Diniz, JL Ferreira… - Computers in biology …, 2022 - Elsevier
Background Liver segmentation is a fundamental step in the treatment planning and
diagnosis of liver cancer. However, manual segmentation of liver is time-consuming …
diagnosis of liver cancer. However, manual segmentation of liver is time-consuming …
A deep learning approach for liver and tumor segmentation in CT images using ResUNet
According to the most recent estimates from global cancer statistics for 2020, liver cancer is
the ninth most common cancer in women. Segmenting the liver is difficult, and segmenting …
the ninth most common cancer in women. Segmenting the liver is difficult, and segmenting …
[HTML][HTML] Automatic liver and tumour segmentation from CT images using Deep learning algorithm
RV Manjunath, K Kwadiki - Results in Control and Optimization, 2022 - Elsevier
The diagnosis and treatment of liver diseases from computed tomography (CT) images is an
indispensable task for segmentation of Liver & its tumours. Due to the uneven presence …
indispensable task for segmentation of Liver & its tumours. Due to the uneven presence …
An evaluation of CNN-based liver segmentation methods using multi-types of CT abdominal images from multiple medical centers
HS Hoang, CP Pham, D Franklin… - 2019 19th …, 2019 - ieeexplore.ieee.org
Automatic segmentation of CT images has recently been applied in several clinical liver
applications. Convolutional Neural Networks (CNNs) have shown their effectiveness in …
applications. Convolutional Neural Networks (CNNs) have shown their effectiveness in …
Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation
Liver and hepatic tumor segmentation remains a challenging problem in Computer
Tomography (CT) images analysis due to its shape variation and vague boundary. The …
Tomography (CT) images analysis due to its shape variation and vague boundary. The …
A lightweight convolutional neural network model for liver segmentation in medical diagnosis
Liver segmentation and recognition from computed tomography (CT) images is a warm topic
in image processing which is helpful for doctors and practitioners. Currently, many deep …
in image processing which is helpful for doctors and practitioners. Currently, many deep …
[PDF][PDF] Liver lesion segmentation using deep learning models
An estimated 9.6 million deaths, or one in every six deaths, were attributed to cancer in
2018, making it the second highest cause of death worldwide. Men are more likely to …
2018, making it the second highest cause of death worldwide. Men are more likely to …