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cs.CV2023★ 1 cited
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems
Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
Reliable classification and detection of certain medical conditions, in images, with state-of-the-art semantic segmentation networks, require vast amounts of pixel-wise annotation.…
cs.CV2023
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters
Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
Achieving high-quality semantic segmentation predictions using only image-level labels enables a new level of real-world applicability. Although state-of-the-art networks deliver r…