VISUAL REPRESENTATION LEARNING USING GRAPH-BASED HIGHER-ORDER HEURISTIC DISTILLATION FOR CELL DETECTION IN BLOOD SMEAR IMAGES

Visual representation learning using graph-based higher-order heuristic distillation for cell detection in blood smear images

Background and objective: In many real-world scenarios, including the blood smear domain, it is difficult for detection networks to achieve good performance because image annotation is usually time consuming and expensive.To address this issue, similarity-based distillation (SD) methods, considered the soft version of contrastive learning, are appl

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On Node Replication Attack in Wireless Sensor Networks

WSNs (Wireless Sensor Networks) comprise a large number of small, inexpensive, low power and memory constrained sensing devices (called sensor nodes) that are densely deployed to measure a given physical phenomenon.Since WSNs are commonly deployed in a hostile and unattended environment, it is easy for an adversary to physically capture one or more

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Successful implementation of a packed red blood cell and fresh frozen plasma transfusion protocol in the surgical intensive care unit.

Blood product transfusions are associated with increased morbidity and mortality.The purpose of this study was to determine if implementation of a restrictive protocol for packed red blood cell (PRBC) and fresh frozen plasma (FFP) transfusion safely reduces Athletic Supporters blood product utilization and costs in a surgical intensive care unit (S

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