Hasil Pencarian - Riku Turkki

  • Menampilkan 1 - 5 hasil dari 5
Perbaiki Hasil
  1. 1
    Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples

    Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples oleh Riku Turkki, Nina Linder, Panu E Kovanen, Teijo Pellinen, Johan Lundin

    Diterbitkan 2016-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Label-free prediction of cell painting from brightfield images

    Label-free prediction of cell painting from brightfield images oleh Jan Oscar Cross-Zamirski, Elizabeth Mouchet, Guy Williams, Carola-Bibiane Schönlieb, Riku Turkki, Yinhai Wang

    Diterbitkan 2022-06-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Cell Painting-based bioactivity prediction boosts high-throughput screening hit-rates and compound diversity

    Cell Painting-based bioactivity prediction boosts high-throughput screening hit-rates and compound diversity oleh Johan Fredin Haslum, Charles-Hugues Lardeau, Johan Karlsson, Riku Turkki, Karl-Johan Leuchowius, Kevin Smith, Erik Müllers

    Diterbitkan 2024-04-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    A malaria diagnostic tool based on computer vision screening and visualization of Plasmodium falciparum candidate areas in digitized blood smears.

    A malaria diagnostic tool based on computer vision screening and visualization of Plasmodium falciparum candidate areas in digitized blood smears. oleh Nina Linder, Riku Turkki, Margarita Walliander, Andreas Mårtensson, Vinod Diwan, Esa Rahtu, Matti Pietikäinen, Mikael Lundin, Johan Lundin

    Diterbitkan 2014-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Quantification of Estrogen Receptor-Alpha Expression in Human Breast Carcinomas With a Miniaturized, Low-Cost Digital Microscope: A Comparison with a High-End Whole Slide-Scanner.

    Quantification of Estrogen Receptor-Alpha Expression in Human Breast Carcinomas With a Miniaturized, Low-Cost Digital Microscope: A Comparison with a High-End Whole Slide-Scanner. oleh Oscar Holmström, Nina Linder, Mikael Lundin, Hannu Moilanen, Antti Suutala, Riku Turkki, Heikki Joensuu, Jorma Isola, Vinod Diwan, Johan Lundin

    Diterbitkan 2015-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: