The 2010 International Joint Conference on Neural Networks (IJCNN) 2010
DOI: 10.1109/ijcnn.2010.5596969
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Extraction of thin color pattern from images for histology investigation

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“…However, the colour of histological images may vary according to the stain, the preparation procedure 2. State-of-the-Art of the tissue and image capture (Claridge et al, 2002;Kothari et al, 2011;Nedzved and Starovoitov, 2010); (iv) edge detection is useful to obtain nuclear morphometric features such as shape of nuclei and diagnosing of some pathologies. However, this technique encounters several problems due to the low definition in some edges of the tissues and organs (Alén et al, 2006;Fujii et al, 2013;Fakhrzadeh et al, 2013).…”
Section: Feature Selection and Machine Learning Algorithms Applied Tomentioning
confidence: 99%
“…However, the colour of histological images may vary according to the stain, the preparation procedure 2. State-of-the-Art of the tissue and image capture (Claridge et al, 2002;Kothari et al, 2011;Nedzved and Starovoitov, 2010); (iv) edge detection is useful to obtain nuclear morphometric features such as shape of nuclei and diagnosing of some pathologies. However, this technique encounters several problems due to the low definition in some edges of the tissues and organs (Alén et al, 2006;Fujii et al, 2013;Fakhrzadeh et al, 2013).…”
Section: Feature Selection and Machine Learning Algorithms Applied Tomentioning
confidence: 99%