Geert Litjens
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Explore the profile of Geert Litjens including associated specialties, affiliations and a list of published articles.
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70
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6611
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Recent Articles
1.
Varra V, Shahwan K, Johnson K, Kirven R, Walker T, Geijs D, et al.
Dermatol Surg
. 2024 Dec;
PMID: 39625169
Background: Deep learning has been used to classify basal cell carcinoma (BCC) on histopathologic images. Segmentation models, required for localization of tumor on Mohs surgery (MMS) frozen section slides, have...
2.
Geijs D, Hillen L, Dooper S, Winnepenninckx V, Varra V, Carr D, et al.
Mod Pathol
. 2024 Nov;
38(2):100653.
PMID: 39522646
Basal cell carcinoma (BCC) is the most frequently diagnosed form of skin cancer, and its incidence continues to rise, particularly among older individuals. This trend puts a significant strain on...
3.
Sole-Guardia G, Luijten M, Janssen E, Visch R, Geenen B, Kusters B, et al.
Brain Pathol
. 2024 Aug;
35(2):e13301.
PMID: 39175459
The major vascular cause of dementia is cerebral small vessel disease (SVD). Its diagnosis relies on imaging hallmarks, such as white matter hyperintensities (WMH). WMH present a heterogenous pathology, including...
4.
Faryna K, Tessier L, Retamero J, Bonthu S, Samanta P, Singhal N, et al.
Mod Pathol
. 2024 Jul;
37(11):100563.
PMID: 39025402
The biopsy Gleason score is an important prognostic marker for prostate cancer patients. It is, however, subject to substantial variability among pathologists. Artificial intelligence (AI)-based algorithms employing deep learning have...
5.
An J, Wang Y, Cai Q, Zhao G, Dooper S, Litjens G, et al.
IEEE J Biomed Health Inform
. 2024 Jul;
PP.
PMID: 38980777
Image analysis can play an important role in supporting histopathological diagnoses of lung cancer, with deep learning methods already achieving remarkable results. However, due to the large scale of whole-slide...
6.
Vendittelli P, Bokhorst J, Smeets E, Kryklyva V, Brosens L, Verbeke C, et al.
PLoS One
. 2024 May;
19(5):e0301969.
PMID: 38771787
Purpose: This study aims to introduce an innovative multi-step pipeline for automatic tumor-stroma ratio (TSR) quantification as a potential prognostic marker for pancreatic cancer, addressing the limitations of existing staging...
7.
Sole-Guardia G, Luijten M, Geenen B, Claassen J, Litjens G, de Leeuw F, et al.
Sci Rep
. 2024 Feb;
14(1):5004.
PMID: 38424226
White matter hyperintensities (WMH) are the most prevalent markers of cerebral small vessel disease (SVD), which is the major vascular risk factor for dementia. Microvascular pathology and neuroinflammation are suggested...
8.
Maier-Hein L, Reinke A, Godau P, Tizabi M, Buettner F, Christodoulou E, et al.
Nat Methods
. 2024 Feb;
21(2):195-212.
PMID: 38347141
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. In biomedical image analysis, chosen performance metrics often do not reflect the domain interest,...
9.
Reinke A, Tizabi M, Baumgartner M, Eisenmann M, Heckmann-Notzel D, Kavur A, et al.
Nat Methods
. 2024 Feb;
21(2):182-194.
PMID: 38347140
Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, particularly in image...
10.
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology
Faryna K, van der Laak J, Litjens G
Comput Biol Med
. 2024 Jan;
170:108018.
PMID: 38281317
In histopathology practice, scanners, tissue processing, staining, and image acquisition protocols vary from center to center, resulting in subtle variations in images. Vanilla convolutional neural networks are sensitive to such...