Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images.
Marly Guimarães Fernandes CostaJoão Paulo Mendes CamposGustavo de Aquino e AquinoWagner Coelho de Albuquerque PereiraCicero Ferreira Fernandes Costa FilhoPublished in: BMC Medical Imaging (2019)
Keyphrases
- automatic segmentation
- automatically segmenting
- segmentation algorithm
- accurate segmentation
- computed tomography images
- manual segmentation
- input image
- image data
- convolutional neural networks
- computer aided diagnosis systems
- region of interest
- ground truth
- ct data
- pigmented skin lesions
- semi automatic segmentation
- breast tissue
- image segmentation
- graph cuts
- image analysis
- lymph nodes
- segmented images
- image registration
- computer vision
- nerve fibers