2022
DOI: 10.1155/2022/4277436
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AI-DRIVEN Novel Approach for Liver Cancer Screening and Prediction Using Cascaded Fully Convolutional Neural Network

Abstract: In experimental analysis and computer-aided design sustain scheme, segmentation of cell liver and hepatic lesions by an automated method is a significant step for studying the biomarkers characteristics in experimental analysis and computer-aided design sustain scheme. Patient to patient, the change in lesion type is dependent on the size, imaging equipment (such as the setting dissimilarity approach), and timing of the lesion, all of which are different. With practical approaches, it is difficult to determine… Show more

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Cited by 38 publications
(35 citation statements)
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“…For performing classification, training and test datasets are obtained from MIT-BIH database, which has both normal and patient datasets [ 24 ]. Nearly 80% of data are chosen for training and 20% was considered for testing.…”
Section: Proposed Workmentioning
confidence: 99%
“…For performing classification, training and test datasets are obtained from MIT-BIH database, which has both normal and patient datasets [ 24 ]. Nearly 80% of data are chosen for training and 20% was considered for testing.…”
Section: Proposed Workmentioning
confidence: 99%
“…Another effective and popular way to extract emotions from speech was to use CNNs [ 7 , 8 ] and Deep CNNs [ 9 , 10 ]. The authors in [ 11 ] used the Deep CNNs to approach the task.…”
Section: Introductionmentioning
confidence: 99%
“…The passive tags are not provided with any energy, and they obtain power from the readers. However, the other tags are provided with an energy storage component [ 26 ].…”
Section: Introductionmentioning
confidence: 99%
“…Bluetooth beacons have greater accuracy compared with Wi-Fi access points, but the downside to this accuracy is that it is directly proportional to the number of beacons used. Mounting beacons over a small area such as an office is easy and cost-effective, but when it comes to a larger structure such as universities, it becomes impractical [ 26 ]. The problem with the Wi-Fi access points is not only its accuracy but also the fact where failing to establish a connection to the device or a delay in the connection may result in errors and false mapping of the user's position.…”
Section: Introductionmentioning
confidence: 99%
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