Deep neural networks have demonstrated promising potential for the field of medical image
reconstruction, successfully generating high quality images for CT, PET and MRI. In this …

Object detection and segmentation represents the basis for many tasks in computer and
machine vision. In biometric recognition systems the detection of the region‐of‐interest (ROI) …

Time-lapse fluorescence microscopy is an essential technique for quantifying various
characteristics of cellular processes, ie cell survival, migration, and differentiation. To …

Nuclei segmentation is a critical task in biological image analysis, with numerous
applications in cancer diagnosis, grading, staging, and treatment planning. However, this …

Gene sequencing technology is a tool which greatly impacts modern biology and medicine.
The next-generation sequencing (NGS) lies at the heart of gene sequencing for its massively …

Deep phenotyping is an emerging conceptual paradigm and experimental approach aimed
at measuring and linking many aspects of a phenotype to understand its underlying biology …

Even for the case where cells such as human epidermal keratinocytes form a dense colony,
or the case where cell contours are indefinite, each of the cells is automatically tracked with …