Automatic Detection and Segmentation of Thrombi in Abdominal Aortic Aneurysms Using a Mask Region-Based Convolutional Neural Network with Optimized Loss Functions.
Byunghoon HwangJihu KimSungmin LeeEunyoung KimJeongho KimYounhyun JungHyoseok HwangPublished in: Sensors (2022)
Keyphrases
- automatic detection
- loss function
- convolutional neural network
- patient specific
- lymph nodes
- image segmentation
- ct data
- chest ct
- diabetic retinopathy
- loss minimization
- pairwise
- blood flow
- segmentation algorithm
- ct volume
- automatic segmentation
- squared error
- support vector
- face detection
- level set
- medical images
- learning to rank
- segmentation method
- neural network
- convex loss functions
- medical imaging
- computer vision
- boosting algorithms
- energy function
- x ray
- reproducing kernel hilbert space
- ct images
- machine learning