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A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis

A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9225858

A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis

About this item

Full title

A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis

Publisher

New York: Hindawi

Journal title

Computational intelligence and neuroscience, 2022-03, Vol.2022, p.1-16

Language

English

Formats

Publication information

Publisher

New York: Hindawi

More information

Scope and Contents

Contents

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 learning methods are used for liver segmentation that takes a long time to train the model which makes this task challenging and limited to larger hardware resources. In thi...

Alternative Titles

Full title

A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9225858

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9225858

Other Identifiers

ISSN

1687-5265

E-ISSN

1687-5273

DOI

10.1155/2022/7954333

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