Using AI-Driven Image Analysis Techniques to Decode Patterns in Cellular Morphology for Improved Cancer Diagnosis and Prognosis

AI-driven image analysis techniques provide a powerful tool for decoding patterns in cellular morphology, significantly improving cancer diagnosis and prognosis. This study explores the application of machine learning models to analyze histopathological images, identifying key morphological features associated with cancer progression. Results highlight advancements in diagnostic accuracy and predictive capabilities, supporting personalized medicine approaches.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-03
DOI
https://doi.org/10.5281/zenodo.14268848
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Using AI-Driven Image Analysis Techniques to Decode Patterns in Cellular Morphology for Improved Cancer Diagnosis and Prognosis

Zenodo (CERN European Organization for Nuclear Research)
AI in cancer detection
article

Using AI-Driven Image Analysis Techniques to Decode Patterns in Cellular Morphology for Improved Cancer Diagnosis and Prognosis

article en

Abstract

AI-driven image analysis techniques provide a powerful tool for decoding patterns in cellular morphology, significantly improving cancer diagnosis and prognosis. This study explores the application of machine learning models to analyze histopathological images, identifying key morphological features associated with cancer progression. Results highlight advancements in diagnostic accuracy and predictive capabilities, supporting personalized medicine approaches.

Zenodo (CERN European Organization for Nuclear Research)
King Abdullah University of Science and Technology (SA)
Good health and well-being
Openalex Percentile: Top 57%
AI in cancer detection
DOIOpen Access PDFOpenAlex
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Using AI-Driven Image Analysis Techniques to Decode Patterns in Cellular Morphology for Improved Cancer Diagnosis and Prognosis · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS