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Document type:
Konferenzbeitrag 
Author(s):
Sarhan, M. H.; Albarqouni, S.; Navab, N.; Eslami, A. 
Title:
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss 
Abstract:
Deep learning techniques are recently being used in fundus image analysis and diabetic retinopathy detection. Microaneurysms are an important indicator of diabetic retinopathy progression. We introduce a two-stage deep learning approach for microaneurysms segmentation using multiple scales of the input with selective sampling and embedding triplet loss. Applying a patch-wise approach with healthy patches only sampled from healthy patient images gives the ability of learning segmentation even in...    »
 
Keywords:
MICCAI,CAMP 
Book / Congress title:
International Conference on Medical Image Computing and Computer-Assisted Intervention 
Organization:
Springer 
Year:
2019 
Pages:
174--182