Accurate Diagnosis and Survival Prediction of Bladder Cancer Using Deep Learning on Histological Slides
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Title
Accurate Diagnosis and Survival Prediction of Bladder Cancer Using Deep Learning on Histological Slides
Authors
Keywords
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Journal
Cancers
Volume 14, Issue 23, Pages 5807
Publisher
MDPI AG
Online
2022-11-28
DOI
10.3390/cancers14235807
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Note: Only part of the references are listed.- Circular RNA ANAPC7 inhibits tumor growth and muscle wasting via PHLPP2-AKT-TGF-β signaling axis in pancreatic cancer
- (2022) Xiuhui Shi et al. GASTROENTEROLOGY
- Detection of bladder cancer with feature fusion, transfer learning and CapsNets
- (2022) Nuno R. Freitas et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter study
- (2022) Guangjie Yang et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Developing a Diagnostic Multivariable Prediction Model for Urinary Tract Cancer in Patients Referred with Haematuria: Results from the IDENTIFY Collaborative Study
- (2022) Sinan Khadhouri et al. European Urology Focus
- A New Approach to Predict the Histological Variants of Bladder Urothelial Carcinoma: Machine Learning-Based Radiomics Analysis
- (2022) Muhammed Said Beşler et al. ACADEMIC RADIOLOGY
- Multi-task deep learning based on T2-Weighted Images for predicting Muscular-Invasive Bladder Cancer
- (2022) Yuan Zou et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Deep learning-based image analysis predicts PD-L1 status from H&E-stained histopathology images in breast cancer
- (2022) Gil Shamai et al. Nature Communications
- The construction and validation of an RNA binding protein-related prognostic model for bladder cancer
- (2021) Fengxia Chen et al. BMC CANCER
- Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
- (2021) Hyuna Sung et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Deep learning-based tumor microenvironment analysis in colon adenocarcinoma histopathological whole-slide images
- (2021) Yiping Jiao et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Data-efficient and weakly supervised computational pathology on whole-slide images
- (2021) Ming Y. Lu et al. Nature Biomedical Engineering
- The IDENTIFY Study: The Investigation and Detection of Urological Neoplasia in Patients Referred with Suspected Urinary Tract Cancer; A multicentre observational study
- (2021) Sinan Khadhouri et al. BJU INTERNATIONAL
- MRI index lesion radiomics and machine learning for detection of extraprostatic extension of disease: a multicenter study
- (2021) Renato Cuocolo et al. EUROPEAN RADIOLOGY
- Circulating miRNAs Act as Diagnostic Biomarkers for Bladder Cancer in Urine
- (2021) Jen-Tai Lin et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer
- (2021) Sia Viborg Lindskrog et al. Nature Communications
- Artificial Intelligence–based Detection of FGFR3 Mutational Status Directly from Routine Histology in Bladder Cancer: A Possible Preselection for Molecular Testing?
- (2021) Chiara Maria Lavinia Loeffler et al. European Urology Focus
- Deep learning for diagnosis and survival prediction in soft tissue sarcoma
- (2021) S. Foersch et al. ANNALS OF ONCOLOGY
- Characterization of the immune cell infiltration landscape in bladder cancer to aid immunotherapy
- (2021) Shanping Shi et al. ARCHIVES OF BIOCHEMISTRY AND BIOPHYSICS
- Identification of a tumor microenvironment-related seven-gene signature for predicting prognosis in bladder cancer
- (2021) Zhi Wang et al. BMC CANCER
- An Artificial Intelligence System for the Detection of Bladder Cancer via Cystoscopy: A Multicenter Diagnostic Study
- (2021) Shaoxu Wu et al. JNCI-Journal of the National Cancer Institute
- Risk factors associated with positive surgical margins’ location at radical cystectomy and their impact on bladder cancer survival
- (2021) Francesco Claps et al. WORLD JOURNAL OF UROLOGY
- Using deep learning to identify bladder cancers with FGFR ‐activating mutations from histology images
- (2021) Constantine S. Velmahos et al. Cancer Medicine
- Scoring System Based on RNA Modification Writer-Related Genes to Predict Overall Survival and Therapeutic Response in Bladder Cancer
- (2021) Pu Zhang et al. Frontiers in Immunology
- The Role of Long Noncoding RNA AL161431.1 in the Development and Progression of Pancreatic Cancer
- (2021) Gang Ma et al. Frontiers in Oncology
- Seven autophagy-related lncRNAs are associated with the tumor immune microenvironment in predicting survival risk of nonsmall cell lung cancer
- (2021) Huihui Jiang et al. Briefings in Functional Genomics
- Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
- (2021) Guang Yang et al. Information Fusion
- Prognostic markers in invasive bladder cancer: FGFR3 mutation status versus P53 and KI-67 expression: a multi-center, multi-laboratory analysis in 1058 radical cystectomy patients
- (2021) Laura S. Mertens et al. UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS
- Prognostic value of preoperative albumin-to-fibrinogen ratio (AFR) in patients with bladder cancer treated with radical cystectomy
- (2021) Francesco Claps et al. UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS
- Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: A retrospective multicentre study
- (2021) Binglu Huang et al. EBioMedicine
- Predicting survival after hepatocellular carcinoma resection using deep‐learning on histological slides
- (2020) Charlie Saillard et al. HEPATOLOGY
- Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
- (2020) Ole-Johan Skrede et al. LANCET
- European Association of Urology Guidelines on Muscle-invasive and Metastatic Bladder Cancer: Summary of the 2020 Guidelines
- (2020) J. Alfred Witjes et al. EUROPEAN UROLOGY
- Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides
- (2020) Ann-Christin Woerl et al. EUROPEAN UROLOGY
- Prognostic value of preoperative hematologic biomarkers in urothelial carcinoma of the bladder treated with radical cystectomy: a systematic review and meta-analysis
- (2020) Keiichiro Mori et al. International Journal of Clinical Oncology
- Genome-wide analysis of prognostic-related lncRNAs, miRNAs and mRNAs forming a competing endogenous RNA network in lung squamous cell carcinoma
- (2020) Qiang Ju et al. JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
- Emerging role of deep learning‐based artificial intelligence in tumor pathology
- (2020) Yahui Jiang et al. Cancer Communications
- Treatment of muscle‐invasive and advanced bladder cancer in 2020
- (2020) Vaibhav G. Patel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- European Association of Urology Guidelines on Upper Urinary Tract Urothelial Carcinoma: 2020 Update
- (2020) Morgan Rouprêt et al. EUROPEAN UROLOGY
- Artificial Intelligence Neuropathologist for Glioma Classification using Deep Learning on Hematoxylin and Eosin Stained Slide images and Molecular Markers
- (2020) Lei Jin et al. NEURO-ONCOLOGY
- Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning
- (2020) Jie-Yi Shi et al. GUT
- Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
- (2020) Samantha Cruz Rivera et al. NATURE MEDICINE
- A Competing Endogenous RNA Network and an 8-lncRNA Prognostic Signature Identify MYO16-AS1 as an Oncogenic lncRNA in Bladder Cancer
- (2020) Danyang Shen et al. DNA AND CELL BIOLOGY
- Automatic recognition of bladder tumours using deep learning technology and its clinical application
- (2020) Rui Yang et al. International Journal of Medical Robotics and Computer Assisted Surgery
- LINC01106 post-transcriptionally regulates ELK3 and HOXD8 to promote bladder cancer progression
- (2020) Liwei Meng et al. Cell Death & Disease
- Deep Learning–based Recurrence Prediction in Patients with Non–muscle-invasive Bladder Cancer
- (2020) Marit Lucas et al. European Urology Focus
- Impact of preoperative serum albumin-globulin ratio on disease outcome after radical cystectomy for urothelial carcinoma of the bladder
- (2020) Victor M. Schuettfort et al. UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS
- Augmented Bladder Tumor Detection Using Deep Learning
- (2019) Eugene Shkolyar et al. EUROPEAN UROLOGY
- MK5 Regulates YAP Stability and Is a Molecular Target in YAP-Driven Cancers
- (2019) Jimyung Seo et al. CANCER RESEARCH
- Deep learning-based classification of mesothelioma improves prediction of patient outcome
- (2019) Pierre Courtiol et al. NATURE MEDICINE
- An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma
- (2019) Balazs Acs et al. Nature Communications
- Updates in the Eighth Edition of the Tumor-Node-Metastasis Staging Classification for Urologic Cancers
- (2018) Gladell P. Paner et al. EUROPEAN UROLOGY
- Classification of triple-negative breast cancers based on Immunogenomic profiling
- (2018) Yin He et al. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH
- Prognostic significance of lymphatic, vascular and perineural invasion for bladder cancer patients treated by radical cystectomy
- (2017) Prasuna Muppa et al. PATHOLOGY
- Unaltered oncological outcomes of radical cystectomy with extended lymphadenectomy over three decades
- (2013) Pascal Zehnder et al. BJU INTERNATIONAL
- COX19 mediates the transduction of a mitochondrial redox signal from SCO1 that regulates ATP7A-mediated cellular copper efflux
- (2013) Scot C. Leary et al. MOLECULAR BIOLOGY OF THE CELL
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