Titlebook: Ophthalmic Medical Image Analysis; 6th International Wo Huazhu Fu,Mona K. Garvin,Yalin Zheng Conference proceedings 2019 Springer Nature Sw

正常

An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans,a. We experimentally validated our approach using a data set with OCT scans of patients with macular diseases. We observe increased performance compared to the models that use only the standard losses. Our proposed loss function strongly supports the segmentation model to better distinguish photoreceptors in highly pathological scenarios.

capsule

U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography,her with BM and OBRPE. The proposed network was trained and evaluated on a longitudinal OCT dataset of 425 scans from 38 patients with early/intermediate AMD. This preliminary study showed that the proposed network consistently outperformed the standard U-net model.

合唱团

Robust Optic Disc Localization by Large Scale Learning,so validated the proposed model on two public benchmarks, i.e. Messidor and ARIA datasets. Experiments show that it can achieve 100% accuracies on both datasets which clearly outperforms all the state-of-the-arts.

粘土

Network Pruning for OCT Image Classification,and VGG-16 from 537.1 MB to 194 KB. These pruned models are much smaller and easier to deploy on the OCT devices. As for the inference speed, the pruned models are 10 to 20 times faster than original models for ResNet and VGG in CPU.

使混合

盲信者

Conference proceedings 2019 with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019...The 22 full papers (out of 36 submissions) presented at OMIA 2019 were carefully reviewed and selected. The papers cover various topics in the field of op

薄荷醇

Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries,rated from multi-scale input to provide a better guidance. In these ways, the segmentation model will be more robust to noises and blurred object boundaries. Extensive experiments on two biomedical image datasets demonstrate the effectiveness of the proposed method.

Alienated

The Channel Attention Based Context Encoder Network for Inner Limiting Membrane Detection,t encoder network modified from the CE-Net [.] to segment the optic disc. It mainly contains three phases: the encoder module, the channel attention based context encoder module, and the decoder module. Finally, we demonstrate that our proposed method achieves state-of-the-art disc segmentation performance on our dataset mentioned above.

adumbrate

MIME

0302-9743 onjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019...The 22 full papers (out of 36 submissions) presented at OMIA 2019 were carefully reviewed and selected. The papers cover various topics in the f