1 code implementation • 17 Oct 2023 • Haowei Wang, Jiayi Ji, Tianyu Guo, Yilong Yang, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji
To address this, we introduce two cascading modules based on the barycenter of the mask, which are Coordinate Guided Aggregation (CGA) and Barycenter Driven Localization (BDL), responsible for segmentation and detection, respectively.
no code implementations • 14 Jul 2023 • Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei LI, Vicente Grau
Myocardial infarction (MI) is one of the most prevalent cardiovascular diseases with associated clinical decision-making typically based on single-valued imaging biomarkers.
1 code implementation • 10 Apr 2023 • Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi
When conventional CNNs are applied to histopathology image analysis, the generalization performance of models is limited because 1) a part of the parameters of filters are trained to fit rotation transformation, thus decreasing the capability of learning other discriminative features; 2) fixed-size filters trained on images at a given scale fail to generalize to those at different scales.
no code implementations • 10 Apr 2023 • Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi
Digital histopathology slides are scanned and viewed under different magnifications and stored as images at different resolutions.
no code implementations • 10 Apr 2023 • Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi
Nested arrangements of these encoder and decoder maps give rise to extensions of the UNet model, such as UNete and UNet++.
no code implementations • 9 May 2020 • Zhuzhu Wang, Yilong Yang, Yang Liu, Ximeng Liu, Brij B. Gupta, Jianfeng Ma
In this paper, we propose a secret sharing based federated learning architecture FedXGB to achieve the privacy-preserving extreme gradient boosting for mobile crowdsensing.
no code implementations • 21 Dec 2018 • Zhuyifan Ye, Yilong Yang, Xiaoshan Li, Dongsheng Cao, Defang Ouyang
Conclusions: The integrated transfer learning and multitask learning approach with the improved dataset splitting algorithm was firstly introduced to predict the pharmacokinetic parameters.
no code implementations • 6 Sep 2018 • Yilong Yang, Zhuyifan Ye, Yan Su, Qianqian Zhao, Xiaoshan Li, Defang Ouyang
In summary, deep learning with the automatic data splitting algorithm and the evaluation criteria suitable for pharmaceutical formulation data was firstly developed for the prediction of pharmaceutical formulations.
1 code implementation • 14 Jun 2018 • Yilong Yang, Nafees Qamar, Peng Liu, Katarina Grolinger, Weiru Wang, Zhi Li, Zhifang Liao
Automated service classification plays a crucial role in service discovery, selection, and composition.
no code implementations • 14 Mar 2018 • Run Han, Yilong Yang, Xiaoshan Li, Defang Ouyang
ANN and DNN were compared for the prediction of the disintegrating time.