6 datasets found

The MIDOG Challenge was a competition on mitosis detection held at the International Conference on Medical Image Computing and Computer Assisted Intervention, 2021.

A dataset and a technique for generalized nuclear segmentation for computational pathology.

Multi-class histopathology nuclei analysis tasks, the lack of training data becomes a main bottleneck for the performance of learning-based methods.

The dataset used for histopathology image segmentation and classification.

The dataset used for histopathology image segmentation and classification.

The MoNuSeg dataset comprises 30 microscopic images from seven organs in the training set, with annotations of 21,623 individual nuclei, and 14 similar images in the test set.