Revolutionizing Tumor Diagnosis with AI: an Indepth Analysis of Image Datasets

the research explores how AI specifically deep learning Representations like CNNs Improves tumor diagnosis by improving image analysis Precision and speed. it too addresses challenges inch artificial intelligence decision-making and its consolidation into Goal workflows

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-10-23
DOI
https://doi.org/10.36948/ijfmr.2024.v06i05.29266
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Revolutionizing Tumor Diagnosis with AI: an Indepth Analysis of Image Datasets

C. S. Abishek, R. Deepa, Jashvinu Yeshwanth, Wilfred Auxilian G -
International Journal For Multidisciplinary Research
Radiomics and Machine Learning in Medical Imaging
article

Revolutionizing Tumor Diagnosis with AI: an Indepth Analysis of Image Datasets

C. S. Abishek, R. Deepa, Jashvinu Yeshwanth, Wilfred Auxilian G -
article en

Abstract

the research explores how AI specifically deep learning Representations like CNNs Improves tumor diagnosis by improving image analysis Precision and speed. it too addresses challenges inch artificial intelligence decision-making and its consolidation into Goal workflows

International Journal For Multidisciplinary ResearchVol. 6(5)
Peace, Justice and strong institutions
Openalex Percentile: Top 68%
Radiomics and Machine Learning in Medical Imaging
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Revolutionizing Tumor Diagnosis with AI: an Indepth Analysis of Image Datasets — C. S. Abishek, R. Deepa, et al. · International Journal For Multidisciplinary Research (2024) | TGRS Research Map | TGRS