Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning Approach
Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning Approach
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Urinary bladder cancer is one of the most common cancers of the urinary tract. This cancer is characterized by its high metastatic potential and recurrence rate. Due to the high metastatic potential and recurrence rate, correct and timely diagnosis is crucial for successful treatment and care. With the aim of increasing diagnosis accuracy, artifici...
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Full title
Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning Approach
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TN_cdi_doaj_primary_oai_doaj_org_article_1b7973215b66493bb56f23ee94f2095c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1b7973215b66493bb56f23ee94f2095c
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ISSN
2079-7737
E-ISSN
2079-7737
DOI
10.3390/biology10111134
