Automatic T1 bladder tumor detection by using wavelet analysis in cystoscopy images
Correct classification of cystoscopy images depends on the interpreter's experience. Bladder cancer is a common lesion that can only be confirmed by biopsying the tissue, therefore, the automatic identification of tumors plays a significant role in early stage diagnosis and its accuracy. To our...
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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/52816 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/52816 |