Semantic Segmentation of Cerebellum in 2D Fetal Ultrasound Brain Images Using Convolutional Neural Networks.
Vishal SinghPradeeba SridarJinman KimRalph NananN. PoornimaShanmuga PriyaG. Sameera ReddySathyabama ChandrasekaranRamarathnam Krishna KumarPublished in: IEEE Access (2021)
Keyphrases
- brain images
- semantic segmentation
- convolutional neural networks
- ultrasound images
- functional magnetic resonance imaging
- medical images
- conditional random fields
- magnetic resonance
- human brain
- superpixels
- scene classification
- weakly supervised
- white matter
- object categories
- human subjects
- edge detection
- object class
- image set
- multiscale
- higher order
- object classes
- ground truth
- three dimensional
- image data
- machine learning
- markov random field
- object detection