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20182023
most citedSkin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting

180 citations · 271 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 6 cited

Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025

Aneeq Zia, Max Berniker, Rogerio Garcia Nespolo +153

Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms…

cs.CV2019★ 180 cited

Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting

Nils Gessert, Thilo Sentker, Frederic Madesta +5

Objective: This work addresses two key problems of skin lesion classification. The first problem is the effective use of high-resolution images with pretrained standard architectur…

cs.CV2018

When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?

Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich +6

Chest radiography is the most common clinical examination type. To improve the quality of patient care and to reduce workload, methods for automatic pathology classification have b…

cs.CV2018★ 65 cited

Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting

Nils Gessert, Thilo Sentker, Frederic Madesta +5

In this paper we present the methods of our submission to the ISIC 2018 challenge for skin lesion diagnosis (Task 3). The dataset consists of 10000 images with seven image-level cl…

cs.CV2018★ 1 cited

Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

Ivo M. Baltruschat, Hannes Nickisch, Michael Grass +2

The increased availability of X-ray image archives (e.g. the ChestX-ray14 dataset from the NIH Clinical Center) has triggered a growing interest in deep learning techniques. To pro…