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

Showing 21 to 30 of 58 articles

Deep learning detection of melanoma metastases in lymph nodes.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: In melanoma patients, surgical excision of the first draining lymph node, the sentinel lymph node (SLN), is a routine procedure to evaluate lymphogenic metastases. Metastasis detection by histopathological analysis assesses multiple tissu...

DeepClassPathway: Molecular pathway aware classification using explainable deep learning.

European journal of cancer (Oxford, England : 1990)
OBJECTIVE: HPV-associated head and neck cancer is correlated with favorable prognosis; however, its underlying biology is not fully understood. We propose an explainable convolutional neural network (CNN) classifier, DeepClassPathway, that predicts H...

An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: The need for developing new biomarkers is increasing with the emergence of many targeted therapies. Artificial Intelligence (AI) algorithms have shown great promise in the medical imaging field to build predictive models. We developed a p...

Combination of CDX2 H-score quantitative analysis with CD3 AI-guided analysis identifies patients with a good prognosis only in stage III colon cancer.

European journal of cancer (Oxford, England : 1990)
AIM: Stratification of colon cancer (CC) of patients with stage II and III for risk of relapse is still needed especially to drive adjuvant therapy administration. Our study evaluates the prognostic performance of two known biomarkers, CDX2 and CD3, ...

Explainable artificial intelligence in skin cancer recognition: A systematic review.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: Due to their ability to solve complex problems, deep neural networks (DNNs) are becoming increasingly popular in medical applications. However, decision-making by such algorithms is essentially a black-box process that renders it difficul...

Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: Over the past decade, the development of molecular high-throughput methods (omics) increased rapidly and provided new insights for cancer research. In parallel, deep learning approaches revealed the enormous potential for medical image an...

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: Multiple studies have compared the performance of artificial intelligence (AI)-based models for automated skin cancer classification to human experts, thus setting the cornerstone for a successful translation of AI-based tools into clinic...