Search Results - "Yu, Lequan"

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks by Yu, Lequan, Chen, Hao, Dou, Qi, Qin, Jing, Heng, Pheng-Ann

“…Automated melanoma recognition in dermoscopy images is a very challenging task due to the low contrast of skin lesions, the huge intraclass variation of…”
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3D deeply supervised network for automated segmentation of volumetric medical images by Dou, Qi, Yu, Lequan, Chen, Hao, Jin, Yueming, Yang, Xin, Qin, Jing, Heng, Pheng-Ann

“…•3D fully convolutional networks for efficient volume-to-volume learning and inference.•Per-voxel-wise error backpropagation which alleviates the risk of…”
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Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos by Yu, Lequan, Chen, Hao, Dou, Qi, Qin, Jing, Heng, Pheng Ann

“…Automated polyp detection in colonoscopy videos has been demonstrated to be a promising way for colorectal cancer prevention and diagnosis. Traditional manual…”
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DCAN: Deep contour-aware networks for object instance segmentation from histology images by Chen, Hao, Qi, Xiaojuan, Yu, Lequan, Dou, Qi, Qin, Jing, Heng, Pheng-Ann

“…•Multi-level fully convolutional networks for effective object segmentation.•A novel method to harness information of object appearance and contour…”
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SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network by Jin, Yueming, Dou, Qi, Chen, Hao, Yu, Lequan, Qin, Jing, Fu, Chi-Wing, Heng, Pheng-Ann

“…We propose an analysis of surgical videos that is based on a novel recurrent convolutional network (SV-RCNet), specifically for automatic workflow recognition…”
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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation by Xia, Yingda, Yang, Dong, Yu, Zhiding, Liu, Fengze, Cai, Jinzheng, Yu, Lequan, Zhu, Zhuotun, Xu, Daguang, Yuille, Alan, Roth, Holger

“…•A unified framework for semi-supervised medical image segmentation and domain adaptation.•A co-training type algorithm that enforces multi-view consistency as…”
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RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification by Wang, Shujun, Zhu, Yaxi, Yu, Lequan, Chen, Hao, Lin, Huangjing, Wan, Xiangbo, Fan, Xinjuan, Heng, Pheng-Ann

“…•An effective two-stage framework for whole slide gastric image classification.•A recalibrated multiple instance deep learning network that considers the…”
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DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation by Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng

“…The morphology of glands has been used routinely by pathologists to assess the malignancy degree of adenocarcinomas. Accurate segmentation of glands from…”
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Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks by Qi Dou, Hao Chen, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Mok, Vincent Ct, Lin Shi, Pheng-Ann Heng

“…Cerebral microbleeds (CMBs) are small haemorrhages nearby blood vessels. They have been recognized as important diagnostic biomarkers for many cerebrovascular…”
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Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge by Bernal, Jorge, Tajkbaksh, Nima, Sanchez, Francisco Javier, Matuszewski, Bogdan J., Hao Chen, Lequan Yu, Angermann, Quentin, Romain, Olivier, Rustad, Bjorn, Balasingham, Ilangko, Pogorelov, Konstantin, Sungbin Choi, Debard, Quentin, Maier-Hein, Lena, Speidel, Stefanie, Stoyanov, Danail, Brandao, Patrick, Cordova, Henry, Sanchez-Montes, Cristina, Gurudu, Suryakanth R., Fernandez-Esparrach, Gloria, Dray, Xavier, Jianming Liang, Histace, Aymeric

“…Colonoscopy is the gold standard for colon cancer screening though some polyps are still missed, thus preventing early disease detection and treatment. Several…”
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Editorial: Deep learning for multimodal brain data processing and analysis by Wang, Liansheng, Yu, Lequan, Magnier, Baptiste

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Potential Anti-Inflammatory Constituents from Aesculus wilsonii Seeds by Zhang, Ping, Yu, Lequan, Cao, Huina, Ruan, Jingya, Li, Fei, Wu, Lijie, Zhang, Yi, Wang, Tao

“…A chemical study of Rehd. (also called Suo Luo Zi) and the in vitro anti-inflammatory effects of the obtained compounds was conducted. Retrieving results…”
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Leveraging data-driven self-consistency for high-fidelity gene expression recovery by Islam, Md Tauhidul, Wang, Jen-Yeu, Ren, Hongyi, Li, Xiaomeng, Khuzani, Masoud Badiei, Sang, Shengtian, Yu, Lequan, Shen, Liyue, Zhao, Wei, Xing, Lei

“…Single cell RNA sequencing is a promising technique to determine the states of individual cells and classify novel cell subtypes. In current sequence data…”
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4D-CT deformable image registration using unsupervised recursive cascaded full-resolution residual networks by Xu, Lei, Jiang, Ping, Tsui, Tiffany, Liu, Junyan, Zhang, Xiping, Yu, Lequan, Niu, Tianye

“…A novel recursive cascaded full-resolution residual network (RCFRR-Net) for abdominal four-dimensional computed tomography (4D-CT) image registration was…”
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Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer by Han, Zhen, Zhang, Zhicheng, Yang, Xianqi, Li, Zhe, Sang, Shengtian, Islam, Md Tauhidul, Guo, Alyssa A, Li, Zihan, Wang, Xiaoyan, Wang, Jing, Zhang, Taojun, Sun, Zepang, Yu, Lequan, Wang, Wei, Xiong, Wenjun, Li, Guoxin, Jiang, Yuming

“…BackgroundOnly a subset of patients with gastric cancer experience long-term benefits from immune checkpoint inhibitors (ICIs). Currently, there is a…”
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Non-invasive CT imaging biomarker to predict immunotherapy response in gastric cancer: a multicenter study by Huang, Weicai, Xiong, Wenjun, Tang, Lei, Chen, Chuanli, Yuan, Qingyu, Zhang, Cheng, Zhou, Kangneng, Sun, Zepang, Zhang, Taojun, Han, Zhen, Feng, Hao, Liang, Xiaokun, Zhong, Yonghong, Deng, Haijun, Yu, Lequan, Xu, Yikai, Wang, Wei, Shen, Lin, Li, Guoxin, Jiang, Yuming

“…BackgroundDespite remarkable benefits have been provided by immune checkpoint inhibitors in gastric cancer (GC), predictions of treatment response and…”
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Automatic detection of cerebral microbleeds via deep learning based 3D feature representation by Hao Chen, Lequan Yu, Qi Dou, Lin Shi, Mok, Vincent C. T., Pheng Ann Heng

“…Clinical identification and rating of the cerebral microbleeds (CMBs) are important in vascular diseases and dementia diagnosis. However, manual labeling is…”
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MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data by Liu, Quande, Dou, Qi, Yu, Lequan, Heng, Pheng Ann

“…Automated prostate segmentation in MRI is highly demanded for computer-assisted diagnosis. Recently, a variety of deep learning methods have achieved…”
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Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images by Yu, Lequan, Zhang, Zhicheng, Li, Xiaomeng, Xing, Lei

“…Computed tomography (CT) has been widely used for medical diagnosis, assessment, and therapy planning and guidance. In reality, CT images may be affected…”
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Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model by Liu, Quande, Yu, Lequan, Luo, Luyang, Dou, Qi, Heng, Pheng Ann

“…Training deep neural networks usually requires a large amount of labeled data to obtain good performance. However, in medical image analysis, obtaining…”
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