Search Results for author: Jesper Kers

Found 3 papers, 1 papers with code

Advances in Kidney Biopsy Lesion Assessment through Dense Instance Segmentation

no code implementations29 Sep 2023 Zhan Xiong, Junling He, Pieter Valkema, Tri Q. Nguyen, Maarten Naesens, Jesper Kers, Fons J. Verbeek

On a dataset of 303 ROIs (from 148 Jones' silver-stained renal WSIs), it outperforms state of art models, achieving AP of 52. 1\% (detection) and 46. 8\% (segmentation).

Instance Segmentation Lesion Classification +3

U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations

1 code implementation10 Aug 2021 Yichi Zhang, Jesper Kers, Clarissa A. Cassol, Joris J. Roelofs, Najia Idrees, Alik Farber, Samir Haroon, Kevin P. Daly, Suvranu Ganguli, Vipul C. Chitalia, Vijaya B. Kolachalama

If more than a single expert is involved in the annotation of the same images, then the inter-expert agreement is not necessarily perfect, and no single expert annotation can precisely capture the so-called ground truth of the regions of interest on all images.

Image Segmentation Semantic Segmentation +1

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