Publications by authors named "Alessandro Catanese"

Computer-aided detection systems based on deep learning have shown good performance in breast cancer detection. However, high-density breasts show poorer detection performance since dense tissues can mask or even simulate masses. Therefore, the sensitivity of mammography for breast cancer detection can be reduced by more than 20% in dense breasts.

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Article Synopsis
  • The study looked at how safe and effective it is to use magnetic seeds to find and remove cancerous lymph nodes in breast cancer patients after they received treatment.
  • They found that marking the lymph nodes before treatment and then using a magnetic probe during surgery worked perfectly for all patients in the study.
  • Using the targeted axillary dissection method helped reduce the chance of missing any cancer (false negatives) when checking the lymph nodes.
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