Beyond Labels: Visual Representations for Bone Marrow Cell Morphology Recognition. (arXiv:2205.09880v1 [cs.CV])

Analyzing and inspecting bone marrow cell cytomorphology is a critical but
highly complex and time-consuming component of hematopathology diagnosis.
Recent advancements in artificial intelligence have paved the way for the
application of deep learning algorithms to complex medical tasks. Nevertheless,
there are many challenges in applying effective learning algorithms to medical
image analysis, such as the lack of sufficient and reliably annotated training
datasets and the highly class-imbalanced nature of most medical data. Here, we
improve on the state-of-the-art methodologies …

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