Publications by authors named "Daesik Jeong"

Article Synopsis
  • * The survey explores various multi-modal MRI imaging techniques and recent deep learning models for brain tumor segmentation, categorizing them into convolutional neural networks (CNN), vision transformers, and hybrid models.
  • * Additionally, the study provides a statistical analysis of current research, datasets, and evaluation metrics, while identifying open research challenges and future directions to enhance diagnostic accuracy and improve patient outcomes in brain tumor treatment.
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The agricultural sector is pivotal to food security and economic stability worldwide. Corn holds particular significance in the global food industry, especially in developing countries where agriculture is a cornerstone of the economy. However, corn crops are vulnerable to various diseases that can significantly reduce yields.

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Accurate and rapid plant disease detection is critical for enhancing long-term agricultural yield. Disease infection poses the most significant challenge in crop production, potentially leading to economic losses. Viruses, fungi, bacteria, and other infectious organisms can affect numerous plant parts, including roots, stems, and leaves.

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