Automatic hemorrhage detection in color fundus images based on gradual removal of vascular branches
By Lei Zhou, Penglin Li, Qi Yu, Yu Qiao, Jie Yang. 2016
19 citations recorded by the source corpus.
Subfields: Ophthalmology, Radiology, Nuclear Medicine and Imaging
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ophthalmology
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks (2019, methodology): “The methods [54, 28, 21, 29] use supervised approaches on image level without reporting a localization.”
- Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images (2017, unknown): “[32] 94.”