Ensembling Low Precision Models for Binary Biomedical Image Segmentation

no code implementations • 16 Oct 2020 • Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert Sabuncu

Our core idea is straightforward: A diverse ensemble of low precision and high recall models are likely to make different false positive errors (classifying background as foreground in different parts of the image), but the true positives will tend to be consistent.

Image Segmentation Lesion Segmentation +3