Search Results - "Lan, Junlin"

O-Net: A Novel Framework With Deep Fusion of CNN and Transformer for Simultaneous Segmentation and Classification by Wang, Tao, Lan, Junlin, Han, Zixin, Hu, Ziwei, Huang, Yuxiu, Deng, Yanglin, Zhang, Hejun, Wang, Jianchao, Chen, Musheng, Jiang, Haiyan, Lee, Ren-Guey, Gao, Qinquan, Du, Ming, Tong, Tong, Chen, Gang

“…The application of deep learning in the medical field has continuously made huge breakthroughs in recent years. Based on convolutional neural network (CNN),…”
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A Deep Learning Quantification Algorithm for HER2 Scoring of Gastric Cancer by Han, Zixin, Lan, Junlin, Wang, Tao, Hu, Ziwei, Huang, Yuxiu, Deng, Yanglin, Zhang, Hejun, Wang, Jianchao, Chen, Musheng, Jiang, Haiyan, Lee, Ren-Guey, Gao, Qinquan, Du, Ming, Tong, Tong, Chen, Gang

“…Gastric cancer is the third most common cause of cancer-related death in the world. Human epidermal growth factor receptor 2 (HER2) positive is an important…”
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Unpaired Stain Style Transfer Using Invertible Neural Networks Based on Channel Attention and Long-Range Residual by Lan, Junlin, Cai, Shaojin, Xue, Yuyang, Gao, Qinquan, Du, Min, Zhang, Hejun, Wu, Zhida, Deng, Yanglin, Huang, Yuxiu, Tong, Tong, Chen, Gang

“…Hematoxylin and eosin (H&E) stained colors is a critical step in the digitized pathological diagnosis of cancer. However, differences in section preparations,…”
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Auxiliary Diagnostic Method for Patellofemoral Pain Syndrome Based on One-Dimensional Convolutional Neural Network by Shi, Wuxiang, Li, Yurong, Xu, Dujian, Lin, Chen, Lan, Junlin, Zhou, Yuanbo, Zhang, Qian, Xiong, Baoping, Du, Min

“…Early accurate diagnosis of patellofemoral pain syndrome (PFPS) is important to prevent the further development of the disease. However, traditional diagnostic…”
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Elucidating the structural and conformational preferences of bioactive chromone and its monohydrate through advanced rotational spectroscopy by Chen, Junhua, Zhang, Min, Lan, Junlin, Wang, Chengxu, Chen, Zhikai, Xu, Xuefang, Gao, Xiuli, Gou, Qian

“…Chromones are a class of naturally occurring compounds, renowned for their diverse biological activities with significant relevance in medicine and…”
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H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis by Zhou, Xiaogen, Nie, Xingqing, Li, Zhiqiang, Lin, Xingtao, Xue, Ensheng, Wang, Luoyan, Lan, Junlin, Chen, Gang, Du, Min, Tong, Tong

“…Skin lesions and thyroid cancer have become diseases with a high incidence. The computer-aided diagnosis (CAD) system for dermatological diseases offers one of…”
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Towards real world stereo image super-resolution via hybrid degradation model and discriminator for implied stereo image information by Zhou, Yuanbo, Xue, Yuyang, Bi, Jiang, He, Wenlin, Zhang, Xinlin, Zhang, Jiajun, Deng, Wei, Nie, Ruofeng, Lan, Junlin, Gao, Qinquan, Tong, Tong

“…Real-world stereo image super-resolution has a significant influence on enhancing the performance of computer vision systems. Although existing methods for…”
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Modulating the Amine–CO2 Interaction Strength: Toward Efficient Carbon Capture by Lan, Junlin, Wang, Chenxu, Li, Meiyue, Duan, Chunguo, Wang, Hao, Chen, Junhua, Grabow, Jens-Uwe, Jäger, Wolfgang, Xu, Yunjie, Gou, Qian

“…This study contributes to a comprehensive understanding of the interactions between CO2 and amines at the molecular level by exploring the rotational spectra…”
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Modulating the Amine-CO 2 Interaction Strength: Toward Efficient Carbon Capture by Lan, Junlin, Wang, Chenxu, Li, Meiyue, Duan, Chunguo, Wang, Hao, Chen, Junhua, Grabow, Jens-Uwe, Jäger, Wolfgang, Xu, Yunjie, Gou, Qian

“…This study contributes to a comprehensive understanding of the interactions between CO and amines at the molecular level by exploring the rotational spectra of…”
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CUSS-Net: A Cascaded Unsupervised-based Strategy and Supervised Network for Biomedical Image Diagnosis and Segmentation by Zhou, Xiaogen, Li, Zhiqiang, Xue, Yuyang, Chen, Shun, Zheng, Meijuan, Chen, Cong, Yu, Yue, Nie, Xingqing, Lin, Xingtao, Wang, Luoyan, Lan, Junlin, Chen, Gang, Du, Min, Xue, Ensheng, Tong, Tong

“…Biomedical image segmentation and classification are critical components in a computer-aided diagnosis system. However, various deep convolutional neural…”
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A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma by Quan, Jiawei, Ye, Jingxuan, Lan, Junlin, Wang, Jianchao, Hu, Ziwei, Guo, Zhechen, Wang, Tao, Han, Zixin, Wu, Zhida, Tan, Tao, Du, Ming, Tong, Tong, Chen, Gang

“…Lymphoma is a malignant tumor originating from the lymphohematopoietic system. At present, pathological evaluation is one of the important methods to diagnose…”
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A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images by Hu, Ziwei, Deng, Yanglin, Lan, Junlin, Wang, Tao, Han, Zixin, Huang, Yuxiu, Zhang, Hejun, Wang, Jianchao, Cheng, Musheng, Jiang, Haiyan, Lee, Ren-Guey, Du, Ming, Tong, Tong, Gao, Qinquan, Chen, Gang

“…Perineural invasion (PNI) is the process of neoplastic invasion of the nerves and is a prognostic factor in gastric cancer. However, such examination is a…”
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Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning by Guo, Zhechen, Lan, Junlin, Wang, Jianchao, Hu, Ziwei, Wu, Zhida, Quan, Jiawei, Han, Zixin, Wang, Tao, Du, Ming, Gao, Qinquan, Xue, Yuyang, Tong, Tong, Chen, Gang

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Using less annotation workload to establish a pathological auxiliary diagnosis system for gastric cancer by Lan, Junlin, Chen, Musheng, Wang, Jianchao, Du, Min, Wu, Zhida, Zhang, Hejun, Xue, Yuyang, Wang, Tao, Chen, Lifan, Xu, Chaohui, Han, Zixin, Hu, Ziwei, Zhou, Yuanbo, Zhou, Xiaogen, Tong, Tong, Chen, Gang

“…Pathological diagnosis of gastric cancer requires pathologists to have extensive clinical experience. To help pathologists improve diagnostic accuracy and…”
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PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification by Wang, Tao, Zhang, Xinlin, Zhou, Yuanbo, Lan, Junlin, Tan, Tao, Du, Min, Gao, Qinquan, Tong, Tong

“…In recent years, deep learning has become a breakthrough technique in assisting medical image diagnosis. Supervised learning using convolutional neural…”
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Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation by Wang, Tao, Chen, Yuanbin, Zhang, Xinlin, Zhou, Yuanbo, Lan, Junlin, Bai, Bizhe, Tan, Tao, Du, Min, Gao, Qinquan, Tong, Tong

“…Supervised learning algorithms based on Convolutional Neural Networks have become the benchmark for medical image segmentation tasks, but their effectiveness…”
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Stereo Cross Global Learnable Attention Module for Stereo Image Super-Resolution by Zhou, Yuanbo, Xue, Yuyang, Deng, Wei, Nie, Ruofeng, Zhang, Jiajun, Pu, Jiaqi, Gao, Qinquan, Lan, Junlin, Tong, Tong

“…Stereo super-resolution is a technique that utilizes corresponding information from multiple viewpoints to enhance the texture of low-resolution images. In…”
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Predicting Differentiation Degree of Gastric Cancer Pathology Images Based on Mask Attention R-CNN by Deng, Yanglin, Lan, Junlin, Huang, Yuxiu, Gao, Qinquan, Zhang, Hejun, Tong, Tong, Chen, Gang

“…Gastric cancer is one of the highest mortality cancers in the world. At present, pathological diagnosis is the gold standard for gastric cancer diagnosis. Deep…”
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Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information by Zhou, Yuanbo, Xue, Yuyang, Bi, Jiang, He, Wenlin, Zhang, Xinlin, Zhang, Jiajun, Deng, Wei, Nie, Ruofeng, Lan, Junlin, Gao, Qinquan, Tong, Tong

“…Real-world stereo image super-resolution has a significant influence on enhancing the performance of computer vision systems. Although existing methods for…”
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Ghost Feature Network for Super-Resolution by Huang, Yuxiu, Zhou, Yuanbo, Lan, Junlin, Deng, Yanglin, Gao, Qinquan, Tong, Tong

“…Recent work has shown that approaches in single image super-resolution achieved great results with the development of deep convolutional neural networks. The…”
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