Article

Advances in Image Processing and Pattern Recognition in Cancer Detection, Prediction, Diagnosis, and Prognosis

2025-03-03

Abstract excerpt

Cancer remains a global health issue, with early detection, correct diagnosis, and exact prognosis playing critical roles in improving patient outcomes. Recent developments in image processing and pattern recognition have significantly enhanced cancer detection, prediction, diagnosis, and prognosis, bridging the gap between conventional radiological methods and state-of-the-art artificial intelligence (AI)-based a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 518060cb-fd16-54d2-8a85-2b1f9339b469
DOI: 10.20944/preprints202503.0055.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Advances in Image Processing and Pattern Recognition in Cancer Detection, Prediction, Diagnosis, and PrognosisDOI 10.20944/preprints202503.0055.v1Read

Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)Semantic proximity Read

Artificial intelligence as the next step towards precision pathology.Semantic proximity Read

Artificial Intelligence and Radiomics in Diagnostic Imaging: A Narrative Review of Methods, Clinical Applications, and Translational ChallengesSemantic proximity Read

Pan-cancer image-based detection of clinically actionable genetic alterations.Semantic proximity Read

Artificial Intelligence (AI) and Machine Learning (ML) in Diagnosing Cancer: Current TrendsSemantic proximity Read

Deep Learning of radiology-genomics integration for computational oncology: A mini reviewSemantic proximity Read

Towards precision medicine: from quantitative imaging to radiomics.Semantic proximity Read

Immunotherapy Efficacy Prediction in Cancer: An Artificial Intelligence Approach with Unannotated H&E Whole-Slide ImagesSemantic proximity Read

Artificial Intelligence and Oral Cancer Diagnosis: Current Evidence, Critical Limitations, and the Basic Science Priorities Essential for Improving Diagnostic AccuracySemantic proximity Read

Insight into deep learning for glioma IDH medical image analysis: A systematic review.Semantic proximity Read

Radiomic Phenotyping in Brain Cancer to Unravel Hidden Information in Medical Images.Semantic proximity Read

Enhancing Histological Cancer Cell Detection: Integrating XAI with Deep Learning for Improved Accuracy, Interpretability, and Clinical TrustSemantic proximity Read