22 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.CV2021
BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition
Hao Chang, Guochen Xie, Jun Yu +1
Semi-supervised Fine-Grained Recognition is a challenge task due to the difficulty of data imbalance, high inter-class similarity and domain mismatch. Recent years, this field has…
eess.IV2020★ 2 cited
Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery
Siang-Ruei Wu, Hao-Yun Chang, Florence T Su +6
Semantic segmentation of medical images with deep learning models is rapidly developed. In this study, we benchmarked state-of-the-art deep learning segmentation algorithms on our…
cs.CV2017★ 22 cited
Skin cancer reorganization and classification with deep neural network
Hao Chang
As one kind of skin cancer, melanoma is very dangerous. Dermoscopy based early detection and recarbonization strategy is critical for melanoma therapy. However, well-trained dermat…