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Nao Sugeta

1 paper hereh-index 00 citations1 works total

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author position
  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CV1

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collaborators

1 paper

cs.CV2026

Weakly Supervised Instance-Level Gleason Pattern Estimation Using Primary and Secondary Labels

Nao Sugeta, Kaito Shiku, Shinnosuke Matsuo +1

In prostate cancer histopathology, the Gleason Score is determined by the most frequent (Primary) and second most frequent (Secondary) Gleason patterns within a whole-slide image.…

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