Open AccessMP58-06 AUTOMATED STAGING OF T1 BLADDER CANCER USING DIGITAL PATHOLOGIC H&E IMAGES: A DEEP LEARNING APPROACH
Author(s) -
Muhammad Khalid Khan Niazi,
Thomas E. Tavolara,
Vidya Arole,
Anil V. Parwani,
Cheryl Lee,
Metin N. Gürcan
Publication year - 2018
Publication title -
the journal of urology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.402
H-Index - 256
eISSN - 1527-3792
pISSN - 0022-5347
DOI - 10.1016/j.juro.2018.02.1838
Subject(s) - medicine , bladder cancer , muscularis mucosae , lamina propria , bladder tumor , pathology , artificial intelligence , cancer , epithelium , computer science
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