DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

doi:doi:10.57702/4nbpgf9d

DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

Diffusion Probabilistic Models have recently shown remarkable performance in generative image modeling, attracting significant attention in the computer vision community. However, while a substantial amount of diffusion-based research has focused on generative tasks, few studies have applied diffusion models to general medical image classification.

BibTex:

@dataset{Yijun_Yang_and_Huazhu_Fu_and_Angelica_I_Aviles-Rivero_and_Carola-Bibiane_Sch¨onlieb_and_Lei_Zhu_2024,
    abstract = {Diffusion Probabilistic Models have recently shown remarkable performance in generative image modeling, attracting significant attention in the computer vision community. However, while a substantial amount of diffusion-based research has focused on generative tasks, few studies have applied diffusion models to general medical image classification.},
    author = {Yijun Yang and Huazhu Fu and Angelica I Aviles-Rivero and Carola-Bibiane Sch¨onlieb and Lei Zhu},
    doi = {10.57702/4nbpgf9d},
    institution = {No Organization},
    keyword = {'diabetic retinopathy', 'diffusion probabilistic model', 'medical image classification', 'placental maturity', 'skin lesion'},
    month = {dec},
    publisher = {TIB},
    title = {DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification},
    url = {https://service.tib.eu/ldmservice/dataset/diffmic--dual-guidance-diffusion-network-for-medical-image-classification},
    year = {2024}
}