TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classification

1 code implementation • Elsevier Neural Networks 2022 • Talha Ilyas, Zubaer Ibna Mannan, Abbas Khan, Sami Azam, Hyongsuk Kim, Friso De Boer

Nuclei segmentation and classification of hematoxylin and eosin-stained histology images is a challenging task due to a variety of issues, such as color inconsistency that results from the non-uniform manual staining operations, clustering of nuclei, and blurry and overlapping nuclei boundaries.

Cell Segmentation Classification +1

Optimizing method for Neural Network based on Genetic Random Weight Change Learning Algorithm

no code implementations • 5 Jun 2019 • Mohammad Ibrahim Sarker, Zubaer Ibna Mannan, Hyongsuk Kim

In this paper, we proposed a methodology by combining the RWC and GA, namely Genetic Random Weight Change (GRWC), as well as demonstrate a seminal way to reduce the complexity of the neural network by removing weak weights of GRWC.