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    • A systematic approach to study the effects of acquisition parameters and biological factors on computerized mammography analysis using ex vivo human tissue: A protocol description 

      Hernández, Nicole; Pakarinen, Tomppa; Salminen, Annukka; Castro, Santiago Laguna; Karhunen-Enckell, Ulla; Hannula, Markus; Heljasvaara, Ritva; Hyttinen, Jari; Joensuu, Katriina; Jokelainen, Otto; Jukkola, Arja; Karppinen, Sanna Maria; Lindgren, Auni; Lääperi, Eero; Peuhu, Emilia; Pihlajaniemi, Taina; Prunskaite-Hyyryläinen, Renata; Rilla, Kirsi; Ruusuvuori, Pekka; Latonen, Leena; Tolonen, Teemu; Valkonen, Masi; Valkonen, Mira; Vuorlaakso, Miska; Pertuz, Said; Rinta-Kiikka, Irina; Arponen, Otso (08 / 2025)
      article
      Background: Mammography is the most common imaging modality for the detection of breast cancer. Artificial intelligence algorithms for mammography analysis have shown promising performance for breast cancer risk assessment ...