Chin Yii Eu

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About

Chin Yii Eu is a researcher at the forefront of medical image analysis, with a primary focus on advancing computer-aided diagnosis for colorectal cancer. Her most-cited work, "Automatic Polyp Segmentation in Colonoscopy Images Using a Modified Deep Convolutional Encoder-Decoder Architecture" (2021, 17 citations), addresses a critical clinical challenge: the time-consuming nature of colon screening. By developing a modified deep convolutional encoder-decoder architecture, Eu has contributed a more efficient and accurate method for automatically detecting and segmenting polyps—a key step in preventing colorectal cancer, which remains the third most common and second deadliest cancer worldwide. This work demonstrates her ability to translate deep learning innovations into practical tools that could reduce diagnostic burden and improve patient outcomes. Her research sits at the intersection of computer vision, deep learning, and gastroenterology, offering tangible solutions for early cancer detection. With growing recognition for her contributions, Chin Yii Eu is establishing herself as a promising voice in the application of artificial intelligence to critical healthcare challenges.