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Found 7 papers, 1 papers with code
Leveraging Global Binary Masks for Structure Segmentation in Medical Images
We proposed to leverage the consistency of organs' anatomical shape and position information in medical images.
Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation
The saliency maps were generated by identifying markers on CT images.
Breast Ultrasound Computer-Aided Diagnosis Using Structure-Aware Triplet Path Networks
These findings indicated that SATPN is promising for effective breast US lesion CAD using small datasets.
BIRADS Features-Oriented Semi-supervised Deep Learning for Breast Ultrasound Computer-Aided Diagnosis
Then, the converted BFMs are used as the input of an SDL network, which performs unsupervised stacked convolutional auto-encoder (SCAE) image reconstruction guided by lesion classification.
Medical Physics
Generating Synthesized Computed Tomography (CT) from Cone-Beam Computed Tomography (CBCT) using CycleGAN for Adaptive Radiation Therapy
Dose calculation accuracy using sCT images has been improved over the original CBCT images, with the average Gamma Index passing rate increased from 95. 4% to 97. 4% for 1 mm/1% criteria.
Medical Physics
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
With the advancement of treatment modalities in radiation therapy for cancer patients, outcomes have improved, but at the cost of increased treatment plan complexity and planning time.
Nonlinear Systems Identification Using Deep Dynamic Neural Networks
Neural networks are known to be effective function approximators.
