DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge
Abstract
Abstract Diffusion-weighted MRI is critical for diagnosing and managing ischemic stroke, but variability in images and disease presentation limits the generalizability of AI algorithms. We present DeepISLES, a robust ensemble algorithm developed from top submissions to the 2022 Ischemic Stroke Lesion Segmentation challenge we organized. By combining the strengths of best-performing methods from leading research groups, DeepISLES achieves superior accuracy in detecting and segmenting ischemic lesions, generalizing well across diverse axes. Validation on a large external dataset (N = 1685) confirms its robustness, outperforming previous state-of-the-art models by 7.4% in Dice score and 12.6% in F1 score. It also excels at extracting clinical biomarkers and correlates strongly with clinical stroke scores, closely matching expert performance. Neuroradiologists prefer DeepISLES’ segmentations over manual annotations in a Turing-like test. Our work demonstrates DeepISLES’ clinical relevance and highlights the value of biomedical challenges in developing real-world, generalizable AI tools. DeepISLES is freely available at https://github.com/ezequieldlrosa/DeepIsles.
Article Details
Authors (59)
Ezequiel de la Rosa
Mauricio Reyes
Sook-Lei Liew
Alexandre Hutton
Roland Wiest
Johannes Kaesmacher
Uta Hanning
Arsany Hakim
Richard Zubal
Waldo Valenzuela
David Robben
Diana M. Sima
Vincenzo Anania
Arne Brys
James A. Meakin
Anne Mickan
Gabriel Broocks
Christian Heitkamp
Shengbo Gao
Kongming Liang
Ziji Zhang
Md Mahfuzur Rahman Siddiquee
Andriy Myronenko
Pooya Ashtari
Sabine Van Huffel
Hyunsu Jeong
Chiho Yoon
Chulhong Kim
Jiayu Huo
Sebastien Ourselin
Rachel Sparks
Albert Clèrigues
Arnau Oliver
Xavier Lladó
Liam Chalcroft
Ioannis Pappas
Jeroen Bertels
Ewout Heylen
Juliette Moreau
Nima Hatami
Carole Frindel
Abdul Qayyum
Moona Mazher
Domenec Puig
Shao-Chieh Lin
Chun-Jung Juan
Tianxi Hu
Lyndon Boone
Maged Goubran
Yi-Jui Liu
Susanne Wegener
Florian Kofler
Ivan Ezhov
Suprosanna Shit
Moritz R. Hernandez Petzsche
Michael Müller
Julius-Maximilians-Universität Würzburg, Institute of Inorganic Chemistry, Institute for Sustainable Chemistry & Catalysis with Boron (ICB), Am Hubland, 97074 Würzburg, Germany
Bjoern Menze
Jan S. Kirschke
Benedikt Wiestler