Search Results for author: Morten Grønnesby

Found 2 papers, 1 papers with code

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

2 code implementations14 Feb 2022 Nikita Shvetsov, Morten Grønnesby, Edvard Pedersen, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Ruth Schwienbacher, Lars Ailo Bongo, Thomas K. Kilvaer

Our approach is to transfer an open source machine learning method for segmentation and classification of nuclei in H&E slides trained on public data to TIL quantification without manual labeling of our data.

BIG-bench Machine Learning Cell Detection +1

Feature Extraction for Machine Learning Based Crackle Detection in Lung Sounds from a Health Survey

no code implementations31 May 2017 Morten Grønnesby, Juan Carlos Aviles Solis, Einar Holsbø, Hasse Melbye, Lars Ailo Bongo

We propose a machine learning based approach for detecting crackles in lung sounds recorded using a stethoscope in a large health survey.

BIG-bench Machine Learning

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