论文信息 - MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification - 字舞流文

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification

Qi Bi | Nanjun He | Yuexiang Li | Munan Ning | Cheng Bian | Kai Ma | Shuang Yu | Hanruo Liu | Yefeng Zheng | Yefeng Zheng | Nanjun He | Hanruo Liu | Kai Ma | Yuexiang Li | Cheng Bian | Shuang Yu | Qi Bi | Munan Ning

[1] A. Rakhlin. Diabetic Retinopathy detection through integration of Deep Learning classification framework , 2017 .

[2] Huazhu Fu,et al. Applications of Deep Learning in Fundus Images: A Review , 2021, Medical Image Anal..

[3] Nicolas Usunier,et al. End-to-End Object Detection with Transformers , 2020, ECCV.

[4] Kai Ma,et al. GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy , 2020, MICCAI.

[5] Pheng-Ann Heng,et al. CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading , 2019, IEEE Transactions on Medical Imaging.