[HTML][HTML] State-of-the-Art Deep Learning Methods for Microscopic Image Segmentation: Applications to Cells, Nuclei, and Tissues
F Krikid, H Rositi, A Vacavant - Journal of Imaging, 2024 - mdpi.com
Microscopic image segmentation (MIS) is a fundamental task in medical imaging and
biological research, essential for precise analysis of cellular structures and tissues. Despite …
biological research, essential for precise analysis of cellular structures and tissues. Despite …
Agricultural Landscape Understanding At Country-Scale
Agricultural landscapes are quite complex, especially in the Global South where fields are
smaller, and agricultural practices are more varied. In this paper we report on our progress …
smaller, and agricultural practices are more varied. In this paper we report on our progress …
XNOROP: a New Metric for Binary Neural Networks Performance Measurement
A Shakkouf, GV Sergeevich - 2024 36th Conference of Open …, 2024 - ieeexplore.ieee.org
The quantity of multiply–accumulate operations in a model (MACs) is a widely used metric in
the field of neural networks and deep learning. This metric expresses the computational cost …
the field of neural networks and deep learning. This metric expresses the computational cost …