Lill-Tove Rasmussen Busund

According to our database, Lill-Tove Rasmussen Busund authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer types.

Ole-Johan Skrede, Manohar Pradhan, Maria Xepapadakis Isaksen, Tarjei Sveinsgjerd Hveem, Ljiljana Vlatkovic, Arild Nesbakken, Kristina Lindemann, Gunnar B. Kristensen, Jenneke Kasius, Alain G. Zeimet, Odd Terje Brustugun, Lill-Tove Rasmussen Busund, Elin H. Richardsen, Erik Skaaheim Haug, Bjørn Brennhovd, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel A. M. Janssen, David J. Kerr, Knut Liestøl, Fritz Albregtsen, Andreas Kleppe

CoRR, October, 2025

Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline.

Masoud Tafavvoghi, Lars Ailo Bongo, André Berli Delgado, Nikita Shvetsov, Anders Sildnes, Line Moi, Lill-Tove Rasmussen Busund, Kajsa Møllersen

CoRR, April, 2025

Open-source framework for detecting bias and overfitting for large pathology images.

Anders Sildnes, Nikita Shvetsov, Masoud Tafavvoghi, Vi Ngoc-Nha Tran, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Thomas K. Kilvaer, Lars Ailo Bongo

CoRR, March, 2025

A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images.

Nikita Shvetsov, Thomas K. Kilvaer, Masoud Tafavvoghi, Anders Sildnes, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Lars Ailo Bongo

CoRR, February, 2025

A lightweight and extensible cell segmentation and classification model for H&E-stained cancer whole slide images.

Nikita Shvetsov, Thomas K. Kilvaer, Masoud Tafavvoghi, Anders Sildnes, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Lars Ailo Bongo

Comput. Biol. Medicine, 2025

2024

Fully Automatic Deep Learning Pipeline for Whole Slide Image Quality Assessment.

Falah Jabar, Lill-Tove Rasmussen Busund, Biagio Ricciuti, Masoud Tafavvoghi, Mette Pøhl, Sigve Andersen, Tom Donnem, David J. Kwiatkowski, Mehrdad Rakaee

CoRR, 2024

Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images.

Masoud Tafavvoghi, Anders Sildnes, Mehrdad Rakaee, Nikita Shvetsov, Lars Ailo Bongo, Lill-Tove Rasmussen Busund, Kajsa Møllersen

CoRR, 2024

Fast TILs estimation in lung cancer WSIs based on semi-stochastic patch sampling.

Nikita Shvetsov, Anders Sildnes, Lill-Tove Rasmussen Busund, Stig Dalen, Kajsa Møllersen, Lars Ailo Bongo, Thomas K. Kilvaer

CoRR, 2024

2023

Publicly available datasets of breast histopathology H&E whole-slide images: A systematic review.

Masoud Tafavvoghi, Lars Ailo Bongo, Nikita Shvetsov, Lill-Tove Rasmussen Busund, Kajsa Møllersen

CoRR, 2023

2022

A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images.

Nikita Shvetsov, Morten Grønnesby, Edvard Pedersen, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Ruth Schwienbacher, Lars Ailo Bongo, Thomas K. Kilvaer

CoRR, 2022