Artificial Intelligence for Segmentation of Bladder Tumor Cystoscopic Images Performed by U-Net with Dilated Convolution

Author:

Mutaguchi Jun12ORCID,Morooka Ken'ichi3,Kobayashi Satoshi1,Umehara Aiko4,Miyauchi Shoko4,Kinoshita Fumio15,Inokuchi Junichi1,Oda Yoshinao5,Kurazume Ryo4,Eto Masatoshi12

Affiliation:

1. Department of Urology, Kyushu University, Fukuoka City, Japan.

2. Department of Advanced Medical Initiatives, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan.

3. Department Compute Science, Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan.

4. Faculty of Information Science and Electrical Engineering, Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan.

5. Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Publisher

Mary Ann Liebert Inc

Subject

Urology

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