e-ISSN: Pending
Negative / Null Result ReportMedicine

MammoDenseSegNet: A Context-Aware Deep Learning Model for Dense Tissue Segmentation in Digital Mammograms.

Ganjee; Bandos; Hossain; Mustafaev; Zuley; Lee · 2026 · Journal of imaging informatics in medicine

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract (excerpt)

Breast density is a breast cancer risk factor. The accurate quantification of breast density requires reliable segmentation of dense tissue in mammograms, but it is a challenging task due to large variations in tissue appearance across…

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Metadata source: PubMed · DOI 10.1007/s10278-026-02029-4