Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
Yixi XuIvan S. KlyuzhinSara HarsiniAnthony OrtizShun ZhangFrançois BénardRahul DodhiaCarlos UribeArman RahmimJuan Lavista FerresPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- automatic segmentation
- prostate cancer
- ct images
- lymph nodes
- medical images
- radiation therapy
- manual segmentation
- mr images
- medical image analysis
- cancer patients
- ct data
- magnetic resonance
- medical imaging
- imaging modalities
- computed tomography
- image guided
- computer aided
- segmentation algorithm
- brain tumors
- accurate segmentation
- radiotherapy treatment
- ct scans
- treatment planning
- image reconstruction
- pattern recognition
- anatomical structures
- magnetic resonance imaging
- breast cancer
- deformable registration
- pairwise
- computer tomography
- magnetic resonance images
- region of interest
- deformable models
- respiratory motion
- soft tissue
- computer vision
- automated segmentation
- image analysis
- contrast enhanced