Improving cellular nuclei detection in histological images by combining super-resolution techniques and deep learning-based object detectors
Digital pathology has enabled large-scale analysis of histological images. However, accurate detection of cellular nuclei remains challenging due to variability in morphology, staining, and especially image resolution. Existing object detection approaches often degrade when applied to low-resolution images, and current...