Breast cancer mitotic cell detection using cascade convolutional neural network with U-net

DOI10.3934/MBE.2021036zbMath1471.92101OpenAlexW3113759164MaRDI QIDQ1980107

Yanyan Li

Publication date: 3 September 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2021036

zbMATH Keywords

breast cancerbinary classificationdeep learningsemantic segmentationcascade detectionmitosis automatic detection

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Cell biology (92C37) Pathology, pathophysiology (92C32)

Related Items (2)

Automated knowledge-assisted mitosis cells detection framework in breast histopathology images ⋮ Multilevel thresholding using a modified ant lion optimizer with opposition-based learning for color image segmentation

Uses Software

• Faster R-CNN

Cites Work

• Automatic detection of breast cancer mitotic cells based on the combination of textural, statistical and innovative mathematical features

This page was built for publication: Breast cancer mitotic cell detection using cascade convolutional neural network with U-net