Search Results for author: Ksenija Benes

Found 2 papers, 1 papers with code

Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification

no code implementations • 25 Aug 2021 • Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz Minhas, Shan E Ahmed Raza, Hesham El Daly, Kishore Gopalakrishnan, David Snead, Nasir Rajpoot

The development of deep segmentation models for computational pathology (CPath) can help foster the investigation of interpretable morphological biomarkers.

Instance Segmentation Semantic Segmentation

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PanNuke Dataset Extension, Insights and Baselines

8 code implementations • 24 Mar 2020 • Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benes, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, Nasir Rajpoot

The emerging area of computational pathology (CPath) is ripe ground for the application of deep learning (DL) methods to healthcare due to the sheer volume of raw pixel data in whole-slide images (WSIs) of cancerous tissue slides.

Selection bias whole slide images

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