Subject
Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference69 articles.
1. Aljuhani, A., Casukhela, I., Chan, J., Liebner, D., Machiraju, R., 2022. Uncertainty aware sampling framework of weak-label learning for histology image classification. In: Proc. MICCAI Conf. pp. 366–376.
2. Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: a review;Bai;Med. Image Anal.,2021
3. Key molecular events in cervical cancer development;Balasubramaniam;Medicina,2019
4. Cervical cancer screening: past, present, and future;Bedell;Sex. Med. Rev.,2020
5. Benton, G., Finzi, M., Izmailov, P., Wilson, A.G., 2020. Learning invariances in neural networks from training data. In: Proc. NeurIPS Conf.. Vol. 33, pp. 17605–17616.