journal article·2017-07Open access

Nucleus Classification in Colon Cancer H&E Images using Deep Learning

Ali Hamad, Filiz Bunyak, Ilker Ersoy

Microscopy and Microanalysis· Volume 23· Issue S1

Abstract

Ali Hamad, Filiz Bunyak, Ilker Ersoy; Nucleus Classification in Colon Cancer H&E Images using Deep Learning, Microscopy and Microanalysis, Volume 23, I
Only a short abstract or summary was supplied by the source.
Source: openalex_inverted_index · Quality: short

Research context

OpenAlex topics: AI in cancer detection · Radiomics and Machine Learning in Medical Imaging · Image Processing Techniques and Applications

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References (7)

Show source-provided references
1. Imagenet classification with deep convolutional neural networks
2. 10.1109/TMI.2016.252580310.1109/TMI.2016.2525803 ↗
3. A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in hande images
4. Alzubaidi L , et al Nucleus detection in h&e images with fully convolutional regression networks. Proc. First International Workshop on Deep Learning for Pattern Recognition (2016).
5. 10.1126/scitranslmed.300433010.1126/scitranslmed.3004330 ↗
6. A novel texture descriptor for detection of glandular structures in colon histology images
7. Al-Milaji Z , et al Hybrid deep learning framework for the classification of epithelial and stromal tissues in h&e images. Proc. International Workshop on Deep Learning for Pattern Recognition (2016).