Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Reference45 articles.
1. Xiao J, Aggarwal AK, Duc NH et al (2023) A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends. Remote Sensing Appl: Soc Environ 32:101005
2. Wu J, Yuan T, Zeng J et al (2023) A Medically Assisted Model for Precise Segmentation of Osteosarcoma Nuclei on Pathological Images, (in eng). IEEE J Biomed Health Inform 27:3982–3993
3. Wu J, Guo Y, Gou F et al (2022) A medical assistant segmentation method for MRI images of osteosarcoma based on DecoupleSegNet. Int J Intell Syst 37:8436–8461
4. Zhou Z, Xie P, Dai Z et al (2024) Self-supervised tumor segmentation and prognosis prediction in osteosarcoma using multiparametric MRI and clinical characteristics. Comput Methods Programs Biomed 244:107974
5. Liu Y, Wang Z, Zhang W et al (2023) DGSN: Learning how to segment pedestrians from other datasets for occluded person re-identification. Image Vis Comput 140:104844