1 code implementation • 12 Mar 2024 • Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andres Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunmig Rong, Kjersti Engan
We developed DL pipelines using two MoEs and two multiclass models of state-of-the-art deep convolutional neural networks (DCNNs) and vision transformers (ViTs).
Ranked #1 on Artifact Detection on HistoArtifacts (1:1 Accuracy metric)
no code implementations • 14 Dec 2023 • Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emiel A. M. Janssen, Kjersti Engan
Melanoma is a type of cancer that begins in the cells controlling the pigment of the skin, and it is often referred to as the most dangerous skin cancer.
no code implementations • 18 Jul 2023 • Neel Kanwal, Emiel A. M. Janssen, Kjersti Engan
The advancement of biomedical research heavily relies on access to large amounts of medical data.
no code implementations • 10 Mar 2023 • Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan
Melanoma prognosis is based on a pathologist's subjective visual analysis of the patient's tumor.
1 code implementation • 6 Feb 2023 • Neel Kanwal, Roger Amundsen, Helga Hardardottir, Luca Tomasetti, Erling Sandoy Undersrud, Emiel A. M. Janssen, Kjersti Engan
Our method detects lesions with high accuracy and localizes them on a WSI to identify potential regions of interest for pathologists.