"SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel ..."

Mario Zusag et al. (2019)

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DOI: 10.1109/ISBI.2019.8759590

access: closed

type: Conference or Workshop Paper

metadata version: 2021-10-14

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  - conf/isbi/ZusagDPSSA19
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  - https://dblp.org/rec/conf/isbi/ZusagDPSSA19
Mario Zusag, Sujal 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. ISBI 2019: 298-302

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