Title:
DEEP LEARNING MODEL-BASED TUMOR-STROMA RATIO PREDICTION METHOD AND ANALYSIS DEVICE
Document Type and Number:
WIPO Patent Application WO/2022/181879
Kind Code:
A1
Abstract:
A deep learning model-based tumor-stroma ratio prediction method comprises the steps in which an analysis device: receives an input of a first staining image of target tissue; generates a second staining image by inputting the first staining image into a trained deep learning model; generates a first binary image of the first staining image; generates a second binary image of the second staining image; and calculates the tumor-stroma ratio of the target tissue on the basis of the first binary image and the second binary image.
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Inventors:
KIM KYOUNG-MEE (KR)
Application Number:
PCT/KR2021/004727
Publication Date:
September 01, 2022
Filing Date:
April 15, 2021
Export Citation:
Assignee:
SAMSUNG LIFE PUBLIC WELFARE FOUNDATION (KR)
International Classes:
G16H50/50; G01N33/483; G06N3/08; G06N20/00; G06T5/00; G16H30/40; G16H50/20; G16H50/70
Foreign References:
| US20200258223A1 | 2020-08-13 | |||
| US20170154420A1 | 2017-06-01 |
Other References:
ZHAOYANG XU; CARLOS FERN\ANDEZ MORO; B\ELA BOZ\OKY; QIANNI ZHANG: "GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis", ARXIV.ORG, 13 January 2019 (2019-01-13), pages 1 - 16, XP081004944
BURLINGAME ERIK A., MCDONNELL MARY, SCHAU GEOFFREY F., THIBAULT GUILLAUME, LANCIAULT CHRISTIAN, MORGAN TERRY, JOHNSON BRETT E., CO: "SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning", SCIENTIFIC REPORTS, vol. 10, no. 1, 1 December 2020 (2020-12-01), pages 1 - 14, XP055962375, DOI: 10.1038/s41598-020-74500-3
TSCHUCHNIG MAXIMILIAN E., OOSTINGH GERTIE J., GADERMAYR MICHAEL: "Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential", PATTERNS, vol. 1, no. 6, 11 September 2020 (2020-09-11), pages 1 - 13, XP055962377, ISSN: 2666-3899, DOI: 10.1016/j.patter.2020.100089
ZHAO KE, LI ZHENHUI, YAO SU, WANG YINGYI, WU XIAOMEI, XU ZEYAN, WU LIN, HUANG YANQI, LIANG CHANGHONG, LIU ZAIYI: "Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer", EBIOMEDICINE, vol. 61, 1 November 2020 (2020-11-01), NL , pages 1 - 9, XP055962381, ISSN: 2352-3964, DOI: 10.1016/j.ebiom.2020.103054
SALVI MASSIMO; ACHARYA U. RAJENDRA; MOLINARI FILIPPO; MEIBURGER KRISTEN M.: "The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis", COMPUTERS IN BIOLOGY AND MEDICINE, vol. 128, 1 January 2020 (2020-01-01), US , pages 1 - 24, XP086424348, ISSN: 0010-4825, DOI: 10.1016/j.compbiomed.2020.104129
BURLINGAME ERIK A., MCDONNELL MARY, SCHAU GEOFFREY F., THIBAULT GUILLAUME, LANCIAULT CHRISTIAN, MORGAN TERRY, JOHNSON BRETT E., CO: "SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning", SCIENTIFIC REPORTS, vol. 10, no. 1, 1 December 2020 (2020-12-01), pages 1 - 14, XP055962375, DOI: 10.1038/s41598-020-74500-3
TSCHUCHNIG MAXIMILIAN E., OOSTINGH GERTIE J., GADERMAYR MICHAEL: "Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential", PATTERNS, vol. 1, no. 6, 11 September 2020 (2020-09-11), pages 1 - 13, XP055962377, ISSN: 2666-3899, DOI: 10.1016/j.patter.2020.100089
ZHAO KE, LI ZHENHUI, YAO SU, WANG YINGYI, WU XIAOMEI, XU ZEYAN, WU LIN, HUANG YANQI, LIANG CHANGHONG, LIU ZAIYI: "Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer", EBIOMEDICINE, vol. 61, 1 November 2020 (2020-11-01), NL , pages 1 - 9, XP055962381, ISSN: 2352-3964, DOI: 10.1016/j.ebiom.2020.103054
SALVI MASSIMO; ACHARYA U. RAJENDRA; MOLINARI FILIPPO; MEIBURGER KRISTEN M.: "The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis", COMPUTERS IN BIOLOGY AND MEDICINE, vol. 128, 1 January 2020 (2020-01-01), US , pages 1 - 24, XP086424348, ISSN: 0010-4825, DOI: 10.1016/j.compbiomed.2020.104129
Attorney, Agent or Firm:
ISIS IP LAW LLC (KR)
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