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Found 2 papers, 1 papers with code
Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data
However, in many real-world cases, data is often of low-quality due to a variety of reasons, such as data consistency, integrity, completeness, accuracy, etc.
CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients
Inspired from it, we employ multi-instance multi-task learning combined with the convolutional neural network (MIMT-CNN) for syndrome differentiation, which takes region proposals as input and output image labels directly.
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