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Deep learning for detection of iso-dense, obscure masses in mammographically dense breasts.

Krithika RangarajanPranjal AgarwalDhruv Kumar GuptaRohan DhanakshirurAkhil BabyChandan PalArun Kumar GuptaSmriti HariSubhashis BanerjeeChetan Arora
Published in: European radiology (2023)
• Although state-of-the-art deep learning networks achieve good results in cancer detection in mammography in general, isodense, obscure masses and mammographically dense breasts posed a challenge to deep learning networks. • Collaborative network design and incorporation of traditional radiology teaching into the deep learning approach helped mitigate the problem. • The accuracy of deep learning networks may be translatable to different patient distributions. We showed the results of our network on screening as well as diagnostic mammography datasets.
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