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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

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Paper Title: A Comparative Study on Explainable AI Models for Medical Image Diagnosis
Authors Name: Mrs.S.Kasthuri
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IJRTI_204043
Published Paper Id: IJRTI2505236
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: In this research, we dive into a comparative study of Explainable Artificial Intelligence (XAI) models used in medical image diagnosis. While AI models, particularly deep learning, have shown impressive results in spotting abnormalities in medical images, their lack of transparency can be a real concern when it comes to clinical decision-making. This study takes a closer look at various XAI techniques—like LIME, SHAP, Grad-CAM, and Integrated Gradients—across different deep learning models, utilizing medical imaging datasets such as ChestX-ray14 and HAM10000. We assess metrics like accuracy, interpretability, and how usable these models are for clinicians. The findings shed light on the balance between model performance and explainability, providing valuable insights for choosing the best XAI approach in clinical environments.
Keywords: Medical Image Diagnosis, Deep Learning, Model Interpretability, Grad-CAM, SHAP
Cite Article: "A Comparative Study on Explainable AI Models for Medical Image Diagnosis", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c321-c325, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505236.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2505236
Registration ID:204043
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c321-c325
Country: Erode, TamilNadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505236
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505236
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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