AI Medical Compendium Journal:
European journal of cancer (Oxford, England : 1990)

Showing 31 to 40 of 58 articles

Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review.

European journal of cancer (Oxford, England : 1990) Aug 11, 2021
BACKGROUND: Gastrointestinal cancers account for approximately 20% of all cancer diagnoses and are responsible for 22.5% of cancer deaths worldwide. Artificial intelligence-based diagnostic support systems, in particular convolutional neural network ...
Humans Deep Learning Treatment Outcome Gastrointestinal Neoplasms
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A benchmark for neural network robustness in skin cancer classification.

European journal of cancer (Oxford, England : 1990) Aug 11, 2021
BACKGROUND: One prominent application for deep learning-based classifiers is skin cancer classification on dermoscopic images. However, classifier evaluation is often limited to holdout data which can mask common shortcomings such as susceptibility t...
Humans Neural Networks, Computer Skin Neoplasms Benchmarking
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Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours.

European journal of cancer (Oxford, England : 1990) Jul 20, 2021
AIM: Sentinel lymph node status is a central prognostic factor for melanomas. However, the surgical excision involves some risks for affected patients. In this study, we therefore aimed to develop a digital biomarker that can predict lymph node metas...
Middle Aged Deep Learning Lymphatic Metastasis Sentinel Lymph Node Melanoma Humans Aged Adult
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Clinical decision support algorithm based on machine learning to assess the clinical response to anti-programmed death-1 therapy in patients with non-small-cell lung cancer.

European journal of cancer (Oxford, England : 1990) Jun 26, 2021
OBJECTIVE: Anti-programmed death (PD)-1 therapy confers sustainable clinical benefits for patients with non-small-cell lung cancer (NSCLC), but only some patients respond to the treatment. Various clinical characteristics, including the PD-ligand 1 (...
Adult Male Middle Aged Machine Learning Immune Checkpoint Inhibitors Humans Female Lung Neoplasms Aged Carcinoma, Non-Small-Cell Lung Aged, 80 and over
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Building a central repository landmarks a new era for artificial intelligence-assisted digital pathology development in Europe.

European journal of cancer (Oxford, England : 1990) Apr 21, 2021
Microscopy Diffusion of Innovation Image Interpretation, Computer-Assisted Pathology Reproducibility of Results Diagnosis, Computer-Assisted Europe Predictive Value of Tests Humans Artificial Intelligence Databases, Factual
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Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification.

European journal of cancer (Oxford, England : 1990) Apr 7, 2021
BACKGROUND: Clinicians and pathologists traditionally use patient data in addition to clinical examination to support their diagnoses.
Skin Neoplasms Reproducibility of Results Aged Adult Retrospective Studies Female Melanoma Predictive Value of Tests Microscopy Sex Factors Image Interpretation, Computer-Assisted Male Middle Aged Age Factors Humans Neural Networks, Computer Databases, Factual Germany Nevus
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Artificial neural networks for multi-omics classifications of hepato-pancreato-biliary cancers: towards the clinical application of genetic data.

European journal of cancer (Oxford, England : 1990) Mar 26, 2021
PURPOSE: Several multi-omics classifications have been proposed for hepato-pancreato-biliary (HPB) cancers, but these classifications have not proven their role in the clinical practice and been validated in external cohorts.
Aged Biomarkers, Tumor Male Transcriptome Liver Neoplasms Machine Learning Follow-Up Studies Algorithms Pancreatic Neoplasms Prognosis Biliary Tract Neoplasms Female Humans Neural Networks, Computer
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Ultrasound-based deep learning radiomics in the assessment of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer.

European journal of cancer (Oxford, England : 1990) Feb 24, 2021
PURPOSE: The aim of the study was to develop and validate a deep learning radiomic nomogram (DLRN) for preoperatively assessing breast cancer pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) based on the pre- and post-treatme...
Neoadjuvant Therapy Neoplasm Invasiveness Predictive Value of Tests Ultrasonography, Mammary Mastectomy Humans Image Interpretation, Computer-Assisted Retrospective Studies Observer Variation Clinical Decision-Making Female Reproducibility of Results Chemotherapy, Adjuvant Middle Aged Adult Deep Learning Breast Neoplasms Nomograms Treatment Outcome
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Association between different scale bars in dermoscopic images and diagnostic performance of a market-approved deep learning convolutional neural network for melanoma recognition.

European journal of cancer (Oxford, England : 1990) Jan 16, 2021
BACKGROUND: Studies systematically unravelling possible causes for false diagnoses of deep learning convolutional neural networks (CNNs) are scarce, yet needed before broader application.
Diagnosis, Computer-Assisted Skin Neoplasms Image Interpretation, Computer-Assisted Humans Deep Learning Artifacts Dermoscopy Retrospective Studies Nevus Predictive Value of Tests Melanoma Reproducibility of Results Cross-Sectional Studies
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Robustness of convolutional neural networks in recognition of pigmented skin lesions.

European journal of cancer (Oxford, England : 1990) Jan 7, 2021
BACKGROUND: A basic requirement for artificial intelligence (AI)-based image analysis systems, which are to be integrated into clinical practice, is a high robustness. Minor changes in how those images are acquired, for example, during routine skin c...
Dermoscopy Humans Reproducibility of Results Neural Networks, Computer Diagnosis, Computer-Assisted Predictive Value of Tests Melanoma Diagnosis, Differential Skin Neoplasms Image Interpretation, Computer-Assisted Nevus
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