Dec 2, 2021 · We aim to leverage gaze for medical image analysis tasks with small training data. Our proposed framework includes a backbone encoder and a Selective Attention ...

Thanks to this ability, human beings can efficiently learn from a very limited number of training samples. Inspired by this mechanism, we aim to leverage gaze ...

Dec 2, 2021 · We show that our method can achieve superior performance when compared to other state-of-the-art methods when using limited training data. We ...

Dec 2, 2021 · The selective attention mechanism helps the cognition system focus on task-relevant visual clues by ignoring the presence of distractors. Thanks ...

Latest. Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. Published with Hugo Blox Builder — the free, open source ...

Inspired by the existing success, we explore the possibility of using human gaze supervised attention model to promote medical image analysis tasks under ...

I work on the intersection of computer vision, medical image analysis, bioinformatics and machine learning with the goal of developing machine learning tools.

Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. arXiv (Cornell University), Dec 2, 2021. BookmarkDownloadEdit ...

Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data ... Learning Based Medical Image Analysis Systems · no code ...

Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data ... An ego-vision system for discovering human joint attention ...