Deep learning has recently advanced in its applicability to computer vision challenges, and
medical imaging has become the most used technique in histopathology image analysis …

Nuclei classification provides valuable information for histopathology image analysis.
However, the large variations in the appearance of different nuclei types cause difficulties in …

Accurate segmentation of nuclei in histology images is essential for digital pathology.
However, previous work should have considered integrating nuclei contour information into …

Segmentation of nuclei in histopathology images with high accuracy is crucial for the
diagnosis and prognosis of cancer and other diseases. Using Artificial Intelligence (AI) in the …

Accurate cell classification in histopathology images is critical for investigating biological
mechanisms behind disease progression and discovering interpretable biomarkers for …

Deep learning techniques have promoted the rise of artificial intelligence (AI) and performed
well in computer vision. Medical image analysis is an important application of deep learning …