Artificial neural network based abdominal organ segmentations: A review

IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015, Florida, Amerika Birleşik Devletleri, 9 - 11 Aralık 2015, ss.1191-1194

Yayın Türü: Bildiri / Tam Metin Bildiri
Doi Numarası: 10.1109/icmla.2015.231
Basıldığı Şehir: Florida
Basıldığı Ülke: Amerika Birleşik Devletleri
Sayfa Sayıları: ss.1191-1194
Anahtar Kelimeler: Organ segmentation, neural networks, MR images, CT images, IMAGES, SERIES
Akdeniz Üniversitesi Adresli: Evet

© 2015 IEEE.There are many neural network based abdominal organ segmentation approaches from medical images. Computed tomography images were mostly used in these approaches. Applied techniques are usually based on prior information regarding position, shape, and size of organs in these methods. In the literature, there are only a few neural network based techniques that were implemented to segment abdominal organs from magnetic resonance based images. In this paper, we present these methods and their results.

There are many neural network based abdominal organ segmentation approaches from medical images. Computed tomography images were mostly used in these approaches. Applied techniques are usually based on prior information regarding position, shape, and size of organs in these methods. In the literature, there are only a few neural network based techniques that were implemented to segment abdominal organs from magnetic resonance based images. In this paper, we present these methods and their results.