M
Martin Hedlund
Publications - 8
Citations - 683
Martin Hedlund is an academic researcher. The author has contributed to research in topics: Digital pathology & Deep learning. The author has an hindex of 5, co-authored 8 publications receiving 375 citations.
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Journal ArticleDOI
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
Péter Bándi,Oscar Geessink,Quirine F. Manson,Marcory C. R. F. van Dijk,Maschenka Balkenhol,Meyke Hermsen,Babak Ehteshami Bejnordi,Byungjae Lee,Kyunghyun Paeng,Aoxiao Zhong,Quanzheng Li,Farhad Ghazvinian Zanjani,Svitlana Zinger,Keisuke Fukuta,Daisuke Komura,Vlado Ovtcharov,Shenghua Cheng,Shaoqun Zeng,Jeppe Thagaard,Anders Bjorholm Dahl,Huangjing Lin,Hao Chen,Ludwig Jacobsson,Martin Hedlund,Melih cetin,Eren Halici,Hunter Jackson,Richard J. Chen,Fabian Both,Jörg Franke,Heidi V.N. Küsters-Vandevelde,Willem Vreuls,Peter Bult,Bram van Ginneken,Jeroen van der Laak,Geert Litjens +35 more
TL;DR: It is shown that simple combinations of the top algorithms result in higher kappa metric values than any algorithm individually, with 0.93 for the best combination.
Journal ArticleDOI
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.
Mitko Veta,Yujing J. Heng,Nikolas Stathonikos,Babak Ehteshami Bejnordi,Francisco Beca,Thomas Wollmann,Karl Rohr,Manan Shah,Dayong Wang,Mikael Rousson,Martin Hedlund,David Tellez,Francesco Ciompi,Erwan Zerhouni,David Lanyi,Matheus P. Viana,Vassili Kovalev,Vitali Liauchuk,Hady Ahmady Phoulady,Talha Qaiser,Simon Graham,Nasir M. Rajpoot,Erik Sjöblom,Jesper Molin,Kyunghyun Paeng,Sangheum Hwang,Sunggyun Park,Zhipeng Jia,Eric Chang,Yan Xu,Andrew H. Beck,Paul J. van Diest,Josien P. W. Pluim +32 more
TL;DR: The achieved results are promising given the difficulty of the tasks and weakly‐labeled nature of the ground truth, however, further research is needed to improve the practical utility of image analysis methods for this task.
Proceedings ArticleDOI
Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score
Oscar Alfonso Jiménez del Toro,Manfredo Atzori,Sebastian Otálora,Mats Andersson,Kristian Eurén,Martin Hedlund,Peter Rönnquist,Henning Müller +7 more
TL;DR: In this paper, a fully automatic approach that detects prostate histopathology slides with high-grade Gleason score is proposed, achieving an accuracy of 78% in a balanced set of 46 unseen test images with different Gleason grades in a 2-class decision: high and low Gleason grade.
Book ChapterDOI
Analysis of histopathology images
Oscar Jimenez-del-Toro,Oscar Jimenez-del-Toro,Sebastian Otálora,Mats Andersson,Kristian Eurén,Martin Hedlund,Mikael Rousson,Henning Müller,Henning Müller,Manfredo Atzori +9 more
TL;DR: This chapter provides an overview of methods addressing the analysis of histopathology images, as well as a brief description of the tasks they aim to solve, focused on histopathological images containing textured areas of different types.
Proceedings ArticleDOI
Tumor proliferation assessment of whole slide images
Mikael Rousson,Martin Hedlund,Mats Andersson,Ludwig Jacobsson,Gunnar Lathen,Bjorn Norell,Oscar Jimenez-del-Toro,Henning Mueller,Manfredo Atzori +8 more
TL;DR: The pipeline is extremely fast and obtained the 2nd place for the tumor proliferation assessment task and the 3rd place in the mitosis counting task, among 17 participants, shows the high quality of automatic solutions for decision support.