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DeepCAN: A Modular Deep Learning System for Automated Cell Counting and Viability Analysis
(IEEE, 2022)
Precise and quick monitoring of key cytometric features such as cell count, cell size, cell morphology,
and DNA content is crucial for applications in biotechnology, medical sciences, and cell culture research. Traditionally, ...
Evolutionary Architecture Optimization for Retinal Vessel Segmentation
(IEEE, 2023)
Retinal vessel segmentation (RVS) is crucial
in medical image analysis as it helps identify and monitor
retinal diseases. Deep learning approaches have shown
promising results for RVS, but designing optimal neural
network ...
Radar Placement Optimization Based on Adaptive Multi-Objective Meta-Heuristics
(Elsevier, 2024)
Airspace surveillance is a significant issue for many countries to control and manage their airspace. The
number of radars used and their coverage rate are the main issues to consider in this case. Therefore, this
paper ...