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 …
[HTML][HTML] Automatic segmentation of liver tumor in CT images with deep convolutional neural networks
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 …
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 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 …
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 …
TPCNN: two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach
A Aghamohammadi, R Ranjbarzadeh, F Naiemi… - Expert Systems with …, 2021 - Elsevier
Automatic liver and tumour segmentation in CT images are crucial in numerous clinical
applications, such as postoperative assessment, surgical planning, and pathological …
applications, such as postoperative assessment, surgical planning, and pathological …
Prediction of abnormal hepatic region using ROI thresholding based segmentation and deep learning based classification
SK Shah, R Mishra, BSP Mishra… - International Journal of …, 2020 - inderscienceonline.com
This paper proposes a novel Computer-Aided Diagnosis System (CADS) model using
Artificial Intelligence (AI) to segment liver form abdomen CT scan. Deep Learning …
Artificial Intelligence (AI) to segment liver form abdomen CT scan. Deep Learning …
An automated liver tumour segmentation and classification model by deep learning based approaches
S Saha Roy, S Roy, P Mukherjee… - Computer Methods in …, 2023 - Taylor & Francis
Liver cancer is regarded as one of the most common and leading causes of cancer death
around the world. Automatic liver tumour segmentation and classification techniques are …
around the world. Automatic liver tumour segmentation and classification techniques are …
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 …
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 …