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20162020
most citedA Survey on Deep Learning in Medical Image Analysis

15.4k citations · 15.8k across the 6 of their papers we have counts for

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4 papers · 1 filter

cs.CV2019★ 36 cited

Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images

Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken +1

Interpretability of deep learning (DL) systems is gaining attention in medical imaging to increase experts' trust in the obtained predictions and facilitate their integration in cl…

cs.CV2019★ 110 cited

Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration

Cristina González-Gonzalo, Verónica Sánchez-Gutiérrez, Paula Hernández-Martínez +5

Purpose: To validate the performance of a commercially-available, CE-certified deep learning (DL) system, RetCAD v.1.3.0 (Thirona, Nijmegen, The Netherlands), for the joint automat…

cs.CV2017★ 15.4k cited

A Survey on Deep Learning in Medical Image Analysis

Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi +6

Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images. This paper reviews the major deep learning…

cs.CV2016★ 26 cited

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes +7

The anatomical location of imaging features is of crucial importance for accurate diagnosis in many medical tasks. Convolutional neural networks (CNN) have had huge successes in co…