Deep Learning Algorithms for Corneal Amyloid Deposition Quantitation in Familial Amyloidosis

le Kessel, Klaus, Mattila, Jaakko, Linder, Nina, Kivelä, Tero, Lundin, Johan
Foilsithe in Ocul Oncol Pathol (2020)

Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples

le Turkki, Riku, Linder, Nina, Kovanen, Panu E., Pellinen, Teijo, Lundin, Johan
Foilsithe in J Pathol Inform (2016)

An open-source, MATLAB based annotation tool for virtual slides

le Turkki, Riku, Walliander, Margarita, Ojansivu, Ville, Linder, Nina, Lundin, Mikael, Lundin, Johan
Foilsithe 2013

Exploring the spatial dimension of estrogen and progesterone signaling: detection of nuclear labeling in lobular epithelial cells in normal mammary glands adjacent to breast cancer

le Grote, Anne, Abbas, Mahmoud, Linder, Nina, Kreipe, Hans H, Lundin, Johan, Feuerhake, Friedrich
Foilsithe in Diagn Pathol (2014)

Lack of MMP-9 expression is a marker for poor prognosis in Dukes’ B colorectal cancer

le Koskensalo, Selja, Hagström, Jaana, Linder, Nina, Lundin, Mikael, Sorsa, Timo, Louhimo, Johanna, Haglund, Caj
Foilsithe 2012

Automated classification of breast cancer morphology in histopathological images

le Ojansivu, Ville, Linder, Nina, Rahtu, Esa, Pietikäinen, Matti, Lundin, Mikael, Joensuu, Heikki, Lundin, Johan
Foilsithe 2013

Assessment of tumour viability in human lung cancer xenografts with texture-based image analysis

le Turkki, Riku, Linder, Nina, Holopainen, Tanja, Wang, Yinhai, Grote, Anne, Lundin, Mikael, Alitalo, Kari, Lundin, Johan
Foilsithe in J Clin Pathol (2015)

Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications

le Vaisman, Alon, Linder, Nina, Lundin, Johan, Orchanian-Cheff, Ani, Coulibaly, Jean T, Ephraim, Richard KD, Bogoch, Isaac I
Foilsithe in Bull World Health Organ (2020)

Effect of image compression and scaling on automated scoring of immunohistochemical stainings and segmentation of tumor epithelium

le Konsti, Juho, Lundin, Mikael, Linder, Nina, Haglund, Caj, Blomqvist, Carl, Nevanlinna, Heli, Aaltonen, Kirsimari, Nordling, Stig, Lundin, Johan
Foilsithe 2012

Automated segmentation of blood cells in Giemsa stained digitized thin blood films

le Walliander, Margarita, Turkki, Riku, Linder, Nina, Lundin, Mikael, Konsti, Juho, Ojansivu, Ville, Meri, Taru, Holmberg, Ville, Lundin, Johan
Foilsithe 2013

On-Chip Imaging of Schistosoma haematobium Eggs in Urine for Diagnosis by Computer Vision

le Linder, Ewert, Grote, Anne, Varjo, Sami, Linder, Nina, Lebbad, Marianne, Lundin, Mikael, Diwan, Vinod, Hannuksela, Jari, Lundin, Johan
Foilsithe 2013

A Malaria Diagnostic Tool Based on Computer Vision Screening and Visualization of Plasmodium falciparum Candidate Areas in Digitized Blood Smears

le Linder, Nina, Turkki, Riku, Walliander, Margarita, Mårtensson, Andreas, Diwan, Vinod, Rahtu, Esa, Pietikäinen, Matti, Lundin, Mikael, Lundin, Johan
Foilsithe 2014

Detection of breast cancer lymph node metastases in frozen sections with a point-of-care low-cost microscope scanner

le Holmström, Oscar, Linder, Nina, Moilanen, Hannu, Suutala, Antti, Nordling, Stig, Ståhls, Anders, Lundin, Mikael, Diwan, Vinod, Lundin, Johan
Foilsithe in PLoS One (2019)

Identification of tumor epithelium and stroma in tissue microarrays using texture analysis

le Linder Nina, Konsti Juho, Turkki Riku, Rahtu Esa, Lundin Mikael, Nordling Stig, Haglund Caj, Ahonen Timo, Pietikäinen Matti, Lundin Johan
Foilsithe 2012-03-01

Identification of tumor epithelium and stroma in tissue microarrays using texture analysis

le Linder, Nina, Konsti, Juho, Turkki, Riku, Rahtu, Esa, Lundin, Mikael, Nordling, Stig, Haglund, Caj, Ahonen, Timo, Pietikäinen, Matti, Lundin, Johan
Foilsithe 2012

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

le Holmström, Oscar, Linder, Nina, Lundin, Mikael, Moilanen, Hannu, Suutala, Antti, Turkki, Riku, Joensuu, Heikki, Isola, Jorma, Diwan, Vinod, Lundin, Johan
Foilsithe in PLoS One (2015)

Point-of-care mobile digital microscopy and deep learning for the detection of soil-transmitted helminths and Schistosoma haematobium

le Holmström, Oscar, Linder, Nina, Ngasala, Billy, Mårtensson, Andreas, Linder, Ewert, Lundin, Mikael, Moilanen, Hannu, Suutala, Antti, Diwan, Vinod, Lundin, Johan
Foilsithe in Glob Health Action (2017)

Long-term prognosis of breast cancer detected by mammography screening or other methods

le Lehtimäki, Tiina, Lundin, Mikael, Linder, Nina, Sihto, Harri, Holli, Kaija, Turpeenniemi-Hujanen, Taina, Kataja, Vesa, Isola, Jorma, Joensuu, Heikki, Lundin, Johan
Foilsithe 2011

Deep learning based tissue analysis predicts outcome in colorectal cancer

le Bychkov, Dmitrii, Linder, Nina, Turkki, Riku, Nordling, Stig, Kovanen, Panu E., Verrill, Clare, Walliander, Margarita, Lundin, Mikael, Haglund, Caj, Lundin, Johan
Foilsithe in Sci Rep (2018)

Breast cancer outcome prediction with tumour tissue images and machine learning

le Turkki, Riku, Byckhov, Dmitrii, Lundin, Mikael, Isola, Jorma, Nordling, Stig, Kovanen, Panu E., Verrill, Clare, von Smitten, Karl, Joensuu, Heikki, Lundin, Johan, Linder, Nina
Foilsithe in Breast Cancer Res Treat (2019)