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Clinical application of mask region-based convolutional neural network for the automatic detection and segmentation of abnormal liver density based on hepatocellular carcinoma computed tomography datasets
- Source :
- PLoS ONE, Vol 16, Iss 8, p e0255605 (2021), PLoS ONE, Vol 16, Iss 8 (2021), PLoS ONE
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- The aim of the study was to use a previously proposed mask region–based convolutional neural network (Mask R-CNN) for automatic abnormal liver density detection and segmentation based on hepatocellular carcinoma (HCC) computed tomography (CT) datasets from a radiological perspective. Training and testing datasets were acquired retrospectively from two hospitals of Taiwan. The training dataset contained 10,130 images of liver tumor densities of 11,258 regions of interest (ROIs). The positive testing dataset contained 1,833 images of liver tumor densities with 1,874 ROIs, and negative testing data comprised 20,283 images without abnormal densities in liver parenchyma. The Mask R-CNN was used to generate a medical model, and areas under the curve, true positive rates, false positive rates, and Dice coefficients were evaluated. For abnormal liver CT density detection, in each image, we identified the mean area under the curve, true positive rate, and false positive rate, which were 0.9490, 91.99%, and 13.68%, respectively. For segmentation ability, the highest mean Dice coefficient obtained was 0.8041. This study trained a Mask R-CNN on various HCC images to construct a medical model that serves as an auxiliary tool for alerting radiologists to abnormal CT density in liver scans; this model can simultaneously detect liver lesions and perform automatic instance segmentation.
- Subjects :
- Male
Computer science
Computed tomography
Convolutional neural network
Diagnostic Radiology
Image Processing, Computer-Assisted
Medicine and Health Sciences
Segmentation
Medical Personnel
Tomography
Multidisciplinary
medicine.diagnostic_test
Liver Diseases
Radiology and Imaging
Liver Neoplasms
Middle Aged
Prognosis
Professions
Liver
Oncology
Hepatocellular carcinoma
Medicine
Female
Anatomy
Research Article
Carcinoma, Hepatocellular
Liver tumor
Imaging Techniques
Science
Taiwan
Neuroimaging
Gastroenterology and Hepatology
Research and Analysis Methods
Signs and Symptoms
Sørensen–Dice coefficient
Diagnostic Medicine
Gastrointestinal Tumors
Radiologists
medicine
Humans
Aged
Retrospective Studies
business.industry
Carcinoma
Cancers and Neoplasms
Biology and Life Sciences
Liver Scan
Pattern recognition
Hepatocellular Carcinoma
medicine.disease
Computed Axial Tomography
Fatty Liver
People and Places
Gastrointestinal Imaging
Lesions
Population Groupings
Neural Networks, Computer
False positive rate
Artificial intelligence
Clinical Medicine
Tomography, X-Ray Computed
business
Liver and Spleen Scan
Follow-Up Studies
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....d2d0ea5c170581e9e1650ecfe2a807a5