SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only

Mario Zusag, S. R. Desai, Marcello Di Paolo, Thomas Semple, Anand Shah, Elsa D. Angelini. SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only. In 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019. pages 298-302, IEEE, 2019. [doi]

Abstract

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