1. The document proposes a new approach for detecting microaneurysms in retinal images that combines multiple preprocessing methods and candidate extraction techniques before classification. 2. An ensemble-based system is used that applies various preprocessing like contrast enhancement and candidate extractors like circular Hough transformation before detecting microaneurysms, to improve flexibility and detection results. 3. Experimental results show the proposed combining approach outperforms individual candidate extraction methods for microaneurysm detection.