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1
Sustainability across the Curriculum: A Multilingual and Intercultural Approach
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2
Genomic Insights Into the Population History and Biological Adaptation of Southwestern Chinese Hmong–Mien People
In: Front Genet (2022)
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3
BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.
Zhou, Jiejie; Liu, Yan-Lin; Zhang, Yang. - : eScholarship, University of California, 2021
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4
BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.
Zhou, Jiejie; Liu, Yan-Lin; Zhang, Yang. - : eScholarship, University of California, 2021
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5
Additive Phoneme-aware Margin Softmax Loss for Language Recognition ...
Li, Zheng; Liu, Yan; Li, Lin. - : arXiv, 2021
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6
BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning
In: Front Oncol (2021)
Abstract: BACKGROUND: A wide variety of benign and malignant processes can manifest as non-mass enhancement (NME) in breast MRI. Compared to mass lesions, there are no distinct features that can be used for differential diagnosis. The purpose is to use the BI-RADS descriptors and models developed using radiomics and deep learning to distinguish benign from malignant NME lesions. MATERIALS AND METHODS: A total of 150 patients with 104 malignant and 46 benign NME were analyzed. Three radiologists performed reading for morphological distribution and internal enhancement using the 5th BI-RADS lexicon. For each case, the 3D tumor mask was generated using Fuzzy-C-Means segmentation. Three DCE parametric maps related to wash-in, maximum, and wash-out were generated, and PyRadiomics was applied to extract features. The radiomics model was built using five machine learning algorithms. ResNet50 was implemented using three parametric maps as input. Approximately 70% of earlier cases were used for training, and 30% of later cases were held out for testing. RESULTS: The diagnostic BI-RADS in the original MRI report showed that 104/104 malignant and 36/46 benign lesions had a BI-RADS score of 4A–5. For category reading, the kappa coefficient was 0.83 for morphological distribution (excellent) and 0.52 for internal enhancement (moderate). Segmental and Regional distribution were the most prominent for the malignant group, and focal distribution for the benign group. Eight radiomics features were selected by support vector machine (SVM). Among the five machine learning algorithms, SVM yielded the highest accuracy of 80.4% in training and 77.5% in testing datasets. ResNet50 had a better diagnostic performance, 91.5% in training and 83.3% in testing datasets. CONCLUSION: Diagnosis of NME was challenging, and the BI-RADS scores and descriptors showed a substantial overlap. Radiomics and deep learning may provide a useful CAD tool to aid in diagnosis.
Keyword: Oncology
URL: https://doi.org/10.3389/fonc.2021.728224
http://www.ncbi.nlm.nih.gov/pubmed/34790569
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591227/
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7
Recent Advances in Intelligent Source Code Generation: A Survey on Natural Language Based Studies
In: Entropy (Basel) (2021)
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8
Electroacupuncture for stress-predominant mixed urinary incontinence: a protocol for a three-armed randomised controlled trial
In: BMJ Open (2021)
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9
Where is the speech production area? Evidence from direct cortical electrical stimulation mapping
In: Brain (2021)
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10
PSCS: A Path-based Neural Model for Semantic Code Search ...
Sun, Zhensu; Liu, Yan; Yang, Chen. - : arXiv, 2020
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11
Differences in Working Memory With Emotional Distraction Between Proficient and Non-proficient Bilinguals
In: Front Psychol (2020)
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12
Additional file 1: of Epidemiological survey of echinococcosis in Tibet Autonomous Region of China ...
Li, Bin; Gongsang Quzhen; Chui-Zhao Xue. - : figshare, 2019
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13
Additional file 1: of Epidemiological survey of echinococcosis in Tibet Autonomous Region of China ...
Li, Bin; Gongsang Quzhen; Chui-Zhao Xue. - : figshare, 2019
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14
Additional file 1: of Inequity in catastrophic costs among tuberculosis-affected households in China ...
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15
Additional file 1: of Inequity in catastrophic costs among tuberculosis-affected households in China ...
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16
RCorp: a resource for chemical disease semantic extraction in Chinese
Sun, Yueping; Hou, Li; Qin, Lu. - : BioMed Central, 2019
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17
A review of Karl Maton, Susan Hood & Suellen Shay (eds.), Knowledge Building: Educational Studies in Legitimation Code Theory, Abingdon and New York: Routledge, 2016. xvii + 264 pp., US$160.00 (hbk) [<Journal>]
Liu, Yan [Verfasser]; Yu, Hui [Sonstige]
DNB Subject Category Language
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18
Are urban public libraries websites accessible to Americans with Disabilities? [<Journal>]
Liu, Yan Quan [Verfasser]; Bielefield, Arlene [Sonstige]; McKay, Peter [Sonstige]
DNB Subject Category Language
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19
大學生EFL英語聽力策略、學習動機與聽力理解之相關研究 ; A Study of Relationship between English Listening Strategy, English Learning Motivation and Listening Comprehension for EFL College Students
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20
Inhibitory Control in Speech Comprehension among Dai–Han Bilingual Children
Tao, Yun; Liu, Zhi; Tempel, Tobias. - : Frontiers Media S.A., 2017
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