Automatic liver and tumour segmentation from CT images using Deep learning algorithm

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, fuzzy borders, diverse densities, shapes and sizes of lesions segmentation of liver & its tumour is a diffi...

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Main Authors: R.V. Manjunath, Karibasappa Kwadiki
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Results in Control and Optimization
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666720721000497
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author R.V. Manjunath
Karibasappa Kwadiki
author_facet R.V. Manjunath
Karibasappa Kwadiki
author_sort R.V. Manjunath
collection DOAJ
description 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, fuzzy borders, diverse densities, shapes and sizes of lesions segmentation of liver & its tumour is a difficult task. At this point we mainly focused on deep learning algorithms for segmenting liver and its tumour from abdominal CT scan images thereafter minimising the time & energy used for a liver diseases diagnosis. The algorithm is used here is based on the modified ResUNet architecture. Here we present, an automatic method based on semantic segmentation convolutional neural networks (CNNs) to segment Liver from CT scans and lesions from segmented liver part. The proposed system attains a Dice Similarity Coefficients (DSCs) of 96.35% and 89.28% and accuracy of 99.71% and 99.72% for liver and tumour segmentations, respectively. Comparison with the linked methods confirms the promise of the proposed system for liver and tumour segmentations.
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spelling doaj.art-dbd81d1704414145aaeaddc99c6e41562022-12-21T23:53:47ZengElsevierResults in Control and Optimization2666-72072022-03-016100087Automatic liver and tumour segmentation from CT images using Deep learning algorithmR.V. Manjunath0Karibasappa Kwadiki1Corresponding author.; Department of Electronics & Communication Engineering, DSATM, Bangalore 82, IndiaDepartment of Electronics & Communication Engineering, DSATM, Bangalore 82, IndiaThe 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, fuzzy borders, diverse densities, shapes and sizes of lesions segmentation of liver & its tumour is a difficult task. At this point we mainly focused on deep learning algorithms for segmenting liver and its tumour from abdominal CT scan images thereafter minimising the time & energy used for a liver diseases diagnosis. The algorithm is used here is based on the modified ResUNet architecture. Here we present, an automatic method based on semantic segmentation convolutional neural networks (CNNs) to segment Liver from CT scans and lesions from segmented liver part. The proposed system attains a Dice Similarity Coefficients (DSCs) of 96.35% and 89.28% and accuracy of 99.71% and 99.72% for liver and tumour segmentations, respectively. Comparison with the linked methods confirms the promise of the proposed system for liver and tumour segmentations.http://www.sciencedirect.com/science/article/pii/S2666720721000497Liver & tumour segmentationCNNDeep learningCT imageResUNetDSC
spellingShingle R.V. Manjunath
Karibasappa Kwadiki
Automatic liver and tumour segmentation from CT images using Deep learning algorithm
Results in Control and Optimization
Liver & tumour segmentation
CNN
Deep learning
CT image
ResUNet
DSC
title Automatic liver and tumour segmentation from CT images using Deep learning algorithm
title_full Automatic liver and tumour segmentation from CT images using Deep learning algorithm
title_fullStr Automatic liver and tumour segmentation from CT images using Deep learning algorithm
title_full_unstemmed Automatic liver and tumour segmentation from CT images using Deep learning algorithm
title_short Automatic liver and tumour segmentation from CT images using Deep learning algorithm
title_sort automatic liver and tumour segmentation from ct images using deep learning algorithm
topic Liver & tumour segmentation
CNN
Deep learning
CT image
ResUNet
DSC
url http://www.sciencedirect.com/science/article/pii/S2666720721000497
work_keys_str_mv AT rvmanjunath automaticliverandtumoursegmentationfromctimagesusingdeeplearningalgorithm
AT karibasappakwadiki automaticliverandtumoursegmentationfromctimagesusingdeeplearningalgorithm