The medical imaging literature has witnessed remarkable progress in high-performing
segmentation models based on convolutional neural networks. Despite the new …

Examination of tissue biopsy and quantification of the various characteristics of cellular
processes are clinical benchmarks in cancer diagnosis. Nuclei and glands instance …

Pathologic analysis of surgical excision specimens for breast carcinoma is important to
evaluate the completeness of surgical excision and has implications for future treatment …

The scale of biological microscopy has increased dramatically over the past ten years, with
the development of new modalities supporting collection of high-resolution fluorescence …

Separating and labeling each nuclear instance (instance-aware segmentation) is the key
challenge in nuclear image segmentation. Deep Convolutional Neural Networks have been …

Pathology is an important field in modern medicine. In particular, the step of nuclei
segmentation is an important step in cancer analysis, diagnosis, and grading because …

The primary step in tissue cytometry is the automated distinction of individual cells
(segmentation). Since cell borders are seldom labeled, cells are generally segmented by …

In the field of computational histopathology, computer-assisted diagnosis systems are
important in obtaining patient-specific diagnosis for various diseases and help precision …

Osteosarcoma is the most common malignant primary bone tumor. Standard treatment
includes pre-operative chemotherapy followed by surgical resection. The response to …

Fluorescence microscopy enables one to visualize subcellular structures of living tissue or
cells in three dimensions. This is especially true for two-photon microscopy using near …