12 citations · 22 across the 7 of their papers we have counts for
4 papers · 1 filter
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels
Chu Han, Jiatai Lin, Jinhai Mai +15
Tissue-level semantic segmentation is a vital step in computational pathology. Fully-supervised models have already achieved outstanding performance with dense pixel-level annotati…
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI
Ruizhe Li, Matteo Bastiani, Dorothee Auer +2
Brain age estimation based on magnetic resonance imaging (MRI) is an active research area in early diagnosis of some neurodegenerative diseases (e.g. Alzheimer, Parkinson, Huntingt…
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net
Mina Jafari, Ruizhe Li, Yue Xing +4
In this paper, we present a generic deep convolutional neural network (DCNN) for multi-class image segmentation. It is based on a well-established supervised end-to-end DCNN model,…
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation
Mina Jafari, Dorothee Auer, Susan Francis +2
Residual network (ResNet) and densely connected network (DenseNet) have significantly improved the training efficiency and performance of deep convolutional neural networks (DCNNs)…