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20182023
most citedAnnotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI

58 citations · 68 across the 7 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

eess.IV2021

Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography

Natália Alves, Megan Schuurmans, Geke Litjens +3

Early detection improves prognosis in pancreatic ductal adenocarcinoma (PDAC) but is challenging as lesions are often small and poorly defined on contrast-enhanced computed tomogra…

eess.IV2021★ 58 cited

Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI

Joeran S. Bosma, Anindo Saha, Matin Hosseinzadeh +3

Deep learning-based diagnostic performance increases with more annotated data, but large-scale manual annotations are expensive and labour-intensive. Experts evaluate diagnostic im…

eess.IV2021★ 1 cited

Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI Should Different Clinical Objectives Mandate Different Loss Functions?

Anindo Saha, Joeran Bosma, Jasper Linmans +2

We hypothesize that probabilistic voxel-level classification of anatomy and malignancy in prostate MRI, although typically posed as near-identical segmentation tasks via U-Nets, re…

eess.IV2021

Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning

Bram de Wilde, Richard P. G. ten Broek, Henkjan Huisman

Adhesions are an important cause of chronic pain following abdominal surgery. Recent developments in abdominal cine-MRI have enabled the non-invasive diagnosis of adhesions. Adhesi…

eess.IV2021

The Medical Segmentation Decathlon

Michela Antonelli, Annika Reinke, Spyridon Bakas +55

International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely inv…

eess.IV2021

End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction

Anindo Saha, Matin Hosseinzadeh, Henkjan Huisman

We present a multi-stage 3D computer-aided detection and diagnosis (CAD) model for automated localization of clinically significant prostate cancer (csPCa) in bi-parametric MR imag…