MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images

Author:

Graham Simon,Chen Hao,Gamper Jevgenij,Dou Qi,Heng Pheng-Ann,Snead David,Tsang Yee Wah,Rajpoot Nasir

Funder

Warwick Global Partnership Fund

Hong Kong Innovation and Technology Commission

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference44 articles.

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2. Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images;Albarqouni;IEEE Trans. Med. Imaging,2016

3. Glandular morphometrics for objective grading of colorectal adenocarcinoma histology images;Awan;Sci. Rep.,2017

4. Badrinarayanan, V., Kendall, A., Cipolla, R., Segnet: a deep convolutional encoder-decoder architecture for image segmentation. arXiv: 1511.00561.

5. Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer;Bejnordi;JAMA,2017

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