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20172022
most citedOptimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors

49 citations · 121 across the 6 of their papers we have counts for

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Showing eess.IVShow all

2 papers · 1 filter

eess.IV2021★ 2 cited

OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations

Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang +5

FDG PET/CT imaging is a resource intensive examination critical for managing malignant disease and is particularly important for longitudinal assessment during therapy. Approaches…

eess.IV2020

Assessing Robustness to Noise: Low-Cost Head CT Triage

Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren +4

Automated medical image classification with convolutional neural networks (CNNs) has great potential to impact healthcare, particularly in resource-constrained healthcare systems w…