TY - JOUR AU - Jung, Hwejin AU - Lodhi, Bilal AU - Kang, Jaewoo PY - 2019 DA - 2019/10/17 TI - An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images JO - BMC Biomedical Engineering SP - 24 VL - 1 IS - 1 AB - Since nuclei segmentation in histopathology images can provide key information for identifying the presence or stage of a disease, the images need to be assessed carefully. However, color variation in histopathology images, and various structures of nuclei are two major obstacles in accurately segmenting and analyzing histopathology images. Several machine learning methods heavily rely on hand-crafted features which have limitations due to manual thresholding. SN - 2524-4426 UR - https://doi.org/10.1186/s42490-019-0026-8 DO - 10.1186/s42490-019-0026-8 ID - Jung2019 ER -