Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Developing deep learning methods to pathomorphological image analysis

2016/23/N/ST6/02076

Keywords:

deep learning pathomorphology images structure detection

Descriptors:

  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • ST6_8: Computer graphics, image processing, computer vision, multimedia, computer games
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Warszawska, Wydział Elektryczny

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Żaneta Świderska-Chadaj 

Number of co-investigators in the project: 2

Call: PRELUDIUM 12 - announced on 2016-09-15

Amount awarded: 150 000 PLN

Project start date (Y-m-d): 2017-08-09

Project end date (Y-m-d): 2021-06-08

Project duration:: 46 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Laptop- macbook pro 13.
  2. karta graficzna GPU Quadro M6000 (NVIDIA Quadro M6000 24GB GDDR5 (384 bit) 4x DisplayPort, DVI (VCQM6000-24GB-PB)) (23 300 PLN)
  3. Dysk zewnętrzny ssd SAMSUNG T3 PORTABLE SSD (2 szt.) (6 700 PLN)

Information in the final report

  • Publication in academic press/journals (4)
  • Articles in post-conference publications (4)
  1. Detection of Ki67 Hot-Spots of Invasive Breast Cancer Based on Convolutional Neural Networks Applied to Mutual Information of H&E and Ki67 Whole Slide Images
    Authors:
    Zaneta Swiderska-Chadaj , Jaime Gallego, Lucia Gonzalez-Lopez, Gloria Bueno
    Academic press:
    Applied Science (rok: 2020, tom: 10(21), strony: 7761), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/app10217761 - link to the publication
  2. Deep learning for damaged tissue detection and segmentation in Ki-67 brain tumor specimens based on the U-net model
    Authors:
    Z. Swiderska-Chadaj, T. Markiewicz, J. Gallego, G. Bueno, B. Grala, M. Lorent
    Academic press:
    BULLETIN OF THE POLISH ACADEMY OF SCIENCES TECHNICAL SCIENCES (rok: 2018, tom: Vol.66, No.6, strony: 849-856), Wydawca: Engineering Sciences of the Polish Academy of Sciences
    Status:
    Published
    DOI:
    10.24425/bpas.2018.125932 - link to the publication
  3. A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues
    Authors:
    Jaime Gallego, Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Michifumi Yamashita, M. Alejandra Gabaldon, Arkadiusz Gertych
    Academic press:
    Computerized Medical Imaging and Graphics (rok: 2021, tom: 89, strony: 101865), Wydawca: elsevier
    Status:
    Published
    DOI:
    10.1016/j.compmedimag.2021.101865 - link to the publication
  4. Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides
    Authors:
    Arkadiusz Gertych, Zaneta Swiderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz, Szczepan Cierniak, Hootan Salemi, Samuel Guzman, Ann E. Walts, and Beatrice S. Knudsen
    Academic press:
    Scientific Reports (rok: 2019, tom: 9, strony: 45303), Wydawca: Nature
    Status:
    Published
    DOI:
    10.1038/s41598-018-37638-9 - link to the publication
  1. A deep learning approach to assess the predominant tumorgrowth pattern in whole-slide images of lung adenocarcinoma
    Authors:
    Zaneta Swiderska-Chadaj, Karolina Nurzynska, Bartlomiej Grala, Katrien Grunberg,Lieke van der Woude, Monika Looijen-Salamon, Ann E. Walts, Tomasz Markiewicz,d,Francesco Ciompi, and Arkadiusz Gertych
    Conference:
    SPIE MEDICAL IMAGING (rok: 2020, ), Wydawca: SPIE
    Data:
    konferencja 15-20.02.2020
    Status:
    Published
  2. Contextual prediction of tumor growth patterns in digital histology slides
    Authors:
    Zaneta Swiderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz, Malgorzata Lorent, Szczepan Cierniak, Ann E. Walts, Beatrice S. Knudsen, Arkadiusz Gertych
    Conference:
    International Conference Information Technology in Biomedicine - ITIB (rok: 2019, ), Wydawca: Springer
    Data:
    konferencja 17-19.06.2019
    Status:
    Published
  3. Semantic Segmentation of Colon Glands in Inflammatory Bowel Disease Biopsies
    Authors:
    Zhaoxuan Ma, Zaneta Swiderska-Chadaj, Nathan Ing, Hootan Salemi, Dermot McGovern, Beatrice Knudsen, Arkadiusz Gertych
    Conference:
    International Conference Information Technology in Biomedicine - ITIB (rok: 2018, ), Wydawca: Springer
    Data:
    konferencja 18-20.06.2018
    Status:
    Published
  4. Multi-Patch Blending improves lung cancer growth pattern segmentation in whole-slide images
    Authors:
    Zaneta Swiderska-Chadaj, Emiel Stoelinga, Arkadiusz Gertych and Francesco Ciompi
    Conference:
    IEEE International Conference on Computational Problems of Electrical Engineering 2020 (rok: 2020, ), Wydawca: IEEE
    Data:
    konferencja 16-19th, September 2020
    Status:
    Published

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