Titlebook: Ophthalmic Medical Image Analysis; 7th International Wo Huazhu Fu,Mona K. Garvin,Yalin Zheng Conference proceedings 2020 Springer Nature Sw

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書(shū)目名稱Ophthalmic Medical Image Analysis影響因子(影響力)




書(shū)目名稱Ophthalmic Medical Image Analysis影響因子(影響力)學(xué)科排名




書(shū)目名稱Ophthalmic Medical Image Analysis網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Ophthalmic Medical Image Analysis網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Ophthalmic Medical Image Analysis被引頻次




書(shū)目名稱Ophthalmic Medical Image Analysis被引頻次學(xué)科排名




書(shū)目名稱Ophthalmic Medical Image Analysis年度引用




書(shū)目名稱Ophthalmic Medical Image Analysis年度引用學(xué)科排名




書(shū)目名稱Ophthalmic Medical Image Analysis讀者反饋




書(shū)目名稱Ophthalmic Medical Image Analysis讀者反饋學(xué)科排名

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Optic Disc, Cup and Fovea Detection from Retinal Images Using U-Net++ with EfficientNet Encoder,4% and 95.73% dice value for OD segmentation on ADAM and REFUGE data, respectively. For fovea detection, the average Euclidean distance of 26.17 pixels is achieved for the ADAM dataset. The proposed method stood first for OD detection and segmentation tasks in ISBI ADAM 2020 challenge.

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Weakly Supervised Retinal Detachment Segmentation Using Deep Feature Propagation Learning in SD-OCTfor cross-validation experiments. The experimental results demonstrate that the proposed method can achieve encouraging segmentation accuracy comparable to strong supervision methods only utilizing image-level labels.

最高峰

A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCtinopathy (DR) and chronic kidney disease (CKD). Our approach enables the discovery of previously unreported retinal vascular morphological differences in DR and CKD, and demonstrate the potential of OCTA for automated disease assessment.

opinionated

An Automated Aggressive Posterior Retinopathy of Prematurity Diagnosis System by Squeeze and Excitance the feature extraction capability of the network. The HBP module can complement the information of the feature layers to capture the feature relationship between the layers so that the representation ability of the model can be enhanced. Finally, in order to solve the imbalance problem of AP-ROP