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ADVANCED IMAGE ANALYSIS USING DEEP LEARNING TECHNIQUES: A COMPREHENSIVE REVIEW

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

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Abstract

Image analysis has emerged as a vital research area in computer vision and artificial intelligence. Recent advances in deep learning have enabled significant improvements in image classification, object detection, segmentation, and visual recognition. This review presents a comprehensive analysis of image analysis techniques, focusing on convolutional neural networks, transfer learning, and transformer-based models. The paper discusses preprocessing techniques, feature extraction methods, evaluation metrics, and practical applications in healthcare, remote sensing, agriculture, surveillance, and industrial automation. Current challenges and future research opportunities are also examined.

References

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Keywords

Image Analysis, Deep Learning, Computer Vision, CNN, Vision Transformer, Artificial Intelligence, Remote Sensing.

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  • Format Volume 14, Issue 1, No 28, 2026
  • Copyright All Rights Reserved ©2026
  • Year of Publication 2026
  • Author Ashok Kumar M, Dr. K. Mahesh, Dr. Eswaran P
  • Reference IJCS-712
  • Page No 022-024

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