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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Cancer

Last data update: Mar 21, 2023. (Total: 58828 Documents since 2012)
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Records 1 - 21 (of 21 Records)

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Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study.
Shaoxu Wu et al. The Lancet. Oncology 2023
Bladder Cancer Radiation Oncology of the Future: Prognostic Modelling, Radiomics, and Treatment Planning With Artificial Intelligence.
Moore Nicholas S et al. Seminars in radiation oncology 2022 33(1) 70-75
Radiomics Signature Using Manual Versus Automated Segmentation for Lymph Node Staging of Bladder Cancer.
Gresser Eva et al. European urology focus 2022
Competitive Risk Model for Specific Mortality Prediction in Patients with Bladder Cancer: A Population-Based Cohort Study with Machine Learning.
Su Hao et al. Journal of oncology 2022 20229577904
Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning-based image preprocessing technique.
Levy Joshua J et al. Cancer cytopathology 2022
Three-Dimensional Ultrasound Images in the Assessment of Bladder Tumor Health Monitoring under Deep Learning Algorithms.
Shao Changhua et al. Computational and mathematical methods in medicine 2022 20229170274
Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures.
O'Sullivan S et al. World journal of urology 2022
A Fact-Finding Procedure Integrating Machine Learning and AHP Technique to Predict Delayed Diagnosis of Bladder Patients with Hematuria.
Lo Chia-Lun et al. Journal of healthcare engineering 2021 20213831453
Usefulness of texture features of apparent diffusion coefficient maps in predicting chemoradiotherapy response in muscle-invasive bladder cancer.
Kimura Koichiro et al. European radiology 2021
Role of Radiomics in the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis.
Kozikowski Mieszko et al. European urology focus 2021
The use of artificial intelligence for the diagnosis of bladder cancer: a review and perspectives.
Chan Erica On-Ting et al. Current opinion in urology 2021
Clinical use of machine learning-based patho-mics signature for diagnosis and survival prediction of bladder cancer.
Chen Siteng et al. Cancer science 2021
Bladder cancer in the time of machine learning: Intelligent tools for diagnosis and management.
Gandi Carlo et al. Urologia 2021 Jan 391560320987169
Automatic recognition of bladder tumors using deep learning technology and its clinical application.
Yang Rui et al. The international journal of medical robotics + computer assisted surgery : MRCAS 2020 Oct e2194
A deep learning network-assisted Bladder Tumor Recognition under Cystoscopy Based on Caffe Deep Learning Framework and EasyDL Platform.
Du Yang et al. The international journal of medical robotics + computer assisted surgery : MRCAS 2020 Sep
Development of robust artificial neural networks for prediction of 5-year survival in bladder cancer.
Bhambhvani Hriday P et al. Urologic oncology 2020 Jun
Multiresolution Application of Artificial Intelligence in Digital Pathology for Prediction of Positive Lymph Nodes From Primary Tumors in Bladder Cancer.
Harmon Stephanie A et al. JCO clinical cancer informatics 2020 Apr 4367-382
Application of artificial neural networks for automated analysis of cystoscopic images: a review of the current status and future prospects.
Negassi Misgana et al. World journal of urology 2020 Jan
Study Progress of Radiomics With Machine Learning for Precision Medicine in Bladder Cancer Management.
Ge Lingling et al. Frontiers in oncology 2019 91296
Artificial intelligence and neural networks in urology: current clinical applications.
Checcucci Enrico et al. Minerva urologica e nefrologica = The Italian journal of urology and nephrology 2019 Dec
Support system of cystoscopic diagnosis for bladder cancer based on artificial intelligence.
Ikeda Atsushi et al. Journal of endourology 2019 Dec
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