MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons
Precise determination and assessment of bladder cancer (BC) extent of muscle invasion
involvement guides proper risk stratification and personalized therapy selection. In this …
involvement guides proper risk stratification and personalized therapy selection. In this …
Position-based anchor optimization for point supervised dense nuclei detection
Nuclei detection is one of the most fundamental and challenging problems in
histopathological image analysis, which can localize nuclei to provide effective computer …
histopathological image analysis, which can localize nuclei to provide effective computer …
High-level prior-based loss functions for medical image segmentation: A survey
Today, deep convolutional neural networks (CNNs) have demonstrated state of the art
performance for supervised medical image segmentation, across various imaging modalities …
performance for supervised medical image segmentation, across various imaging modalities …
Deep learning in medical ultrasound image segmentation: a review
Z Wang - ar** for weakly-supervised semantic segmentation with multi-scale inference
Y Liu, L Lian, E Zhang, L Xu, C **ao… - Frontiers in Computer …, 2022 - frontiersin.org
Deep learning techniques have shown great potential in medical image processing,
particularly through accurate and reliable image segmentation on magnetic resonance …
particularly through accurate and reliable image segmentation on magnetic resonance …