[업데이트 2019.09.04 15:36] 1. 논문 Attention U-Net: Learning Where to Look for the Pancreas Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert(Submitted on 11 Apr 2018 (v1), last revised 20 May 2018 (this version, v3)) https://arxiv.org/abs/1804.03999 - GitHub: https://g..
[업데이트 2019.09.04 11:17] 1. 논문 Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels Medical Image Analysis 53 (2019) 197–207 Article history: Received 15 August 2018 Revised 15 January 2019 Accepted 18 January 2019 Available online 5 February 2019 https://www.sciencedirect.com/science/article/pii/S1361841518306133 2. 요약 - We propose a novel attention gate (AG) mode..
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