42 citations · 50 across the 4 of their papers we have counts for
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cs.CV2024★ 8 cited
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance
Milda Pocevičiūtė, Gabriel Eilertsen, Stina Garvin +1
Multiple-instance learning (MIL) is an attractive approach for digital pathology applications as it reduces the costs related to data collection and labelling. However, it is not c…
cs.CV2020★ 42 cited
Survey of XAI in digital pathology
Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström
Artificial intelligence (AI) has shown great promise for diagnostic imaging assessments. However, the application of AI to support medical diagnostics in clinical routine comes wit…