Name one real-life application of deep learning that helps society and explain further.

2026-02-03 · 첨삭 강사 Wela

학생이 쓴 원문

One of the most common task of deep learning is image classification. Image classification means labeling of specific image. In our daily life, this image classification task applied in health care system. For example, deep learning can be trained with a lot of CT images labeled with tissue name casued a specific disease. And doctors can use this deep learning when they decide to their patients\' disease. More specifically, deep learning get a CT image as an input, and there\'re a lot of tissues in the CT Image. After working, deep learning classify tissues\' name. And with this information, doctors can notice the tissues easier.

강사 첨삭

Great explanation, Mary! You showed a solid understanding of how deep learning works in healthcare, especially in image classification using CT scans. Your idea flow was logical, and the example was very relevant. To improve further, focus on grammar accuracy, plural forms, and using clearer academic expressions. Overall, this is a strong answer, keep practicing, and your explanations will become even more professional and precise! 

-Teacher Wela 

One of the most common task of deep learning is image classification. 

>> One of the most common tasks of deep learning is image classification. 

Image classification means labeling of specific image.

>> Image classification means labeling a specific image.

In our daily life, this image classification task applied in health care system.

>> In our daily life, this image classification task is applied in the healthcare system.

And doctors can use this deep learning when they decide to their patients\' disease.

>> Doctors can use this deep learning model when diagnosing their patients’ diseases.

After working, deep learning classify tissues\' name.

>> After processing the image, the deep learning model classifies the tissue types.


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