Unsupervised model architecture for cystoscopy images.

<p>Unsupervised model architecture for cystoscopy images.</p>

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Bibliographic Details
Main Author:	Zixing Ye (13137714) (author)
Other Authors:	Chenyu Shao (12420922) (author), Kelei Zhu (20746236) (author)
Published:	2025
Subjects:	Cell Biology Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified unsupervised neural network unsupervised fusion network unsupervised alignment network time panoramic stitching simultaneously eliminating artifacts method &# 8217 intravesical lesion characteristics garnered significant attention assisted diagnostic systems advancement provides opportunities achieved image fusion image stitching techniques cystoscopy image stitching method eliminates sutures employed feature convolution learning techniques feature matching cystoscopy images commonly employed various resolutions successfully validated substantial amount study proposes regression networks recent years medical data linear transformations labeled datasets labeled data future development flocculent debris experiments demonstrated essential tool blurry scenes bladder endoscopy align images
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