Recent Applications of Artificial Intelligence from Histopathologic Image-Based Prediction of Microsatellite Instability in Solid Cancers: A Systematic Review
出版年份 2022 全文链接
标题
Recent Applications of Artificial Intelligence from Histopathologic Image-Based Prediction of Microsatellite Instability in Solid Cancers: A Systematic Review
作者
关键词
-
出版物
Cancers
Volume 14, Issue 11, Pages 2590
出版商
MDPI AG
发表日期
2022-05-25
DOI
10.3390/cancers14112590
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape
- (2022) Muhammad Joan Ailia et al. Cancers
- Deep learning detects genetic alterations in cancer histology generated by adversarial networks
- (2021) Jeremias Krause et al. JOURNAL OF PATHOLOGY
- Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes
- (2021) James A. Diao et al. Nature Communications
- Feasibility of deep learning‐based fully automated classification of microsatellite instability in tissue slides of colorectal cancer
- (2021) Sung Hak Lee et al. INTERNATIONAL JOURNAL OF CANCER
- Integration of histopathological images and multi-dimensional omics analyses predicts molecular features and prognosis in high-grade serous ovarian cancer
- (2021) Hao Zeng et al. GYNECOLOGIC ONCOLOGY
- Genetic Aberrations of DNA Repair Pathways in Prostate Cancer: Translation to the Clinic
- (2021) Aruni Ghose et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Artificial Intelligence Can Cut Costs While Maintaining Accuracy in Colorectal Cancer Genotyping
- (2021) Alec J. Kacew et al. Frontiers in Oncology
- Unraveling the Wide Spectrum of Melanoma Biomarkers
- (2021) Antonios Revythis et al. Diagnostics
- Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
- (2020) Ole-Johan Skrede et al. LANCET
- Pembrolizumab versus chemotherapy for microsatellite instability-high/mismatch repair deficient metastatic colorectal cancer: The phase 3 KEYNOTE-177 Study.
- (2020) Thierry Andre et al. JOURNAL OF CLINICAL ONCOLOGY
- Clinical-grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning
- (2020) Amelie Echle et al. GASTROENTEROLOGY
- Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning
- (2020) Korsuk Sirinukunwattana et al. GUT
- A deep learning model to predict RNA-Seq expression of tumours from whole slide images
- (2020) Benoît Schmauch et al. Nature Communications
- Wise Management of Ovarian Cancer: On the Cutting Edge
- (2020) Stergios Boussios et al. Journal of Personalized Medicine
- Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study
- (2020) Rikiya Yamashita et al. LANCET ONCOLOGY
- Cervical Cancer, Version 3.2019, NCCN Clinical Practice Guidelines in Oncology
- (2019) Wui-Jin Koh et al. Journal of the National Comprehensive Cancer Network
- End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
- (2019) Diego Ardila et al. NATURE MEDICINE
- Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study
- (2019) Bach Tran et al. Journal of Clinical Medicine
- Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
- (2019) Jakob Nikolas Kather et al. NATURE MEDICINE
- Small Bowel Adenocarcinoma, Version 1.2020, NCCN Clinical Practice Guidelines in Oncology
- (2019) Al B. Benson et al. Journal of the National Comprehensive Cancer Network
- Correlations between microsatellite instability and the biological behaviour of tumours
- (2019) Guang Yang et al. JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
- Microsatellite Instability: Diagnosis, Heterogeneity, Discordance, and Clinical Impact in Colorectal Cancer
- (2019) Evrard et al. Cancers
- Comprehensive Characterization of Cancer Driver Genes and Mutations
- (2018) Matthew H. Bailey et al. CELL
- Clinically applicable deep learning for diagnosis and referral in retinal disease
- (2018) Jeffrey De Fauw et al. NATURE MEDICINE
- Association of Primary Resistance to Immune Checkpoint Inhibitors in Metastatic Colorectal Cancer With Misdiagnosis of Microsatellite Instability or Mismatch Repair Deficiency Status
- (2018) Romain Cohen et al. JAMA Oncology
- Molecular testing for Lynch syndrome in people with colorectal cancer: systematic reviews and economic evaluation
- (2017) Tristan Snowsill et al. HEALTH TECHNOLOGY ASSESSMENT
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Molecular Biomarkers for the Evaluation of Colorectal Cancer
- (2017) Antonia R. Sepulveda et al. JOURNAL OF MOLECULAR DIAGNOSTICS
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade
- (2017) Dung T. Le et al. SCIENCE
- Microsatellite Instability
- (2017) Liisa Chang et al. APPLIED IMMUNOHISTOCHEMISTRY & MOLECULAR MORPHOLOGY
- Era of universal testing of microsatellite instability in colorectal cancer
- (2017) Xuchen Zhang et al. World Journal of Gastrointestinal Oncology
- The future of cancer treatment: immunomodulation, CARs and combination immunotherapy
- (2016) Danny N. Khalil et al. Nature Reviews Clinical Oncology
- PD-L1 (B7-H1) and PD-1 pathway blockade for cancer therapy: Mechanisms, response biomarkers, and combinations
- (2016) Weiping Zou et al. Science Translational Medicine
- Colorectal cancer carcinogenesis: a review of mechanisms
- (2016) Kanwal Tariq et al. Cancer Biology & Medicine
- Genetics and Genetic Biomarkers in Sporadic Colorectal Cancer
- (2015) John M. Carethers et al. GASTROENTEROLOGY
- PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
- (2015) Dung T. Le et al. NEW ENGLAND JOURNAL OF MEDICINE
- New insights into cancer immunoediting and its three component phases—elimination, equilibrium and escape
- (2014) Deepak Mittal et al. CURRENT OPINION IN IMMUNOLOGY
- Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients
- (2014) Roy S. Herbst et al. NATURE
- Chemotherapy of MMR-deficient colorectal cancer
- (2013) N. Devaud et al. Familial Cancer
- Microsatellite Instability in Colorectal Cancer
- (2010) C. Richard Boland et al. GASTROENTEROLOGY
- Mismatch repair deficient colorectal cancer in the era of personalized treatment
- (2010) Madeleine Hewish et al. Nature Reviews Clinical Oncology
- Pathologic Predictors of Microsatellite Instability in Colorectal Cancer
- (2008) Joel K. Greenson et al. AMERICAN JOURNAL OF SURGICAL PATHOLOGY
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