Search Results - "Kucukel, Hakan"

A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy by Holmström, Oscar, Stenman, Sebastian, Suutala, Antti, Moilanen, Hannu, Kücükel, Hakan, Ngasala, Billy, Mårtensson, Andreas, Mhamilawa, Lwidiko, Aydin-Schmidt, Berit, Lundin, Mikael, Diwan, Vinod, Linder, Nina, Lundin, Johan

“…Malaria remains a major global health problem with a need for improved field-usable diagnostic tests. We have developed a portable, low-cost digital microscope…”
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Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy by Bychkov, Dmitrii, Linder, Nina, Tiulpin, Aleksei, Kücükel, Hakan, Lundin, Mikael, Nordling, Stig, Sihto, Harri, Isola, Jorma, Lehtimäki, Tiina, Kellokumpu-Lehtinen, Pirkko-Liisa, von Smitten, Karl, Joensuu, Heikki, Lundin, Johan

“…The treatment of patients with ERBB2 (HER2)-positive breast cancer with anti- ERBB2 therapy is based on the detection of ERBB2 gene amplification or protein…”
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Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma by Stenman, Sebastian, Bychkov, Dmitrii, Kucukel, Hakan, Linder, Nina, Haglund, Caj, Arola, Johanna, Lundin, Johan

“…The quantity of leukocytes in papillary thyroid carcinoma (PTC) potentially have prognostic and treatment predictive value. Here, we propose a novel method for…”
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Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series by Bychkov, Dmitrii, Joensuu, Heikki, Nordling, Stig, Tiulpin, Aleksei, Kücükel, Hakan, Lundin, Mikael, Sihto, Harri, Isola, Jorma, Lehtimäki, Tiina, Kellokumpu-Lehtinen, Pirkko-Liisa, von Smitten, Karl, Lundin, Johan, Linder, Nina

“…Prediction of clinical outcomes for individual cancer patients is an important step in the disease diagnosis and subsequently guides the treatment and patient…”
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Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series by Dmitrii Bychkov, Heikki Joensuu, Stig Nordling, Aleksei Tiulpin, Hakan Kücükel, Mikael Lundin, Harri Sihto, Jorma Isola, Tiina Lehtimäki, Pirkko-Liisa Kellokumpu-Lehtinen, Karl von Smitten, Johan Lundin, Nina Linder

“…Background: Prediction of clinical outcomes for individual cancer patients is an important step in the disease diagnosis and subsequently guides the treatment…”
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