Web: http://arxiv.org/abs/2205.01777

May 5, 2022, 1:10 a.m. | Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grig

cs.CV updates on arXiv.org arxiv.org

Although the U-Net architecture has been extensively used for segmentation of
medical images, we address two of its shortcomings in this work. Firstly, the
accuracy of vanilla U-Net degrades when the target regions for segmentation
exhibit significant variations in shape and size. Even though the U-Net already
possesses some capability to analyze features at various scales, we propose to
explicitly add multi-scale feature maps in each convolutional module of the
U-Net encoder to improve segmentation of histology images. Secondly, the …

architecture arxiv deep image noise scale segmentation strategies training

More from arxiv.org / cs.CV updates on arXiv.org

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC

Senior Data Science Writer

@ NannyML | Remote

Director of AI/ML Engineering

@ Armis Industries | Remote (US only), St. Louis, California

Digital Analytics Manager

@ Patagonia | Ventura, California