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1
Learning and controlling the source-filter representation of speech with a variational autoencoder
In: https://hal.archives-ouvertes.fr/hal-03650569 ; 2022 (2022)
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2
Genetic Neural Architecture Search for automatic assessment of human sperm images
In: ISSN: 0957-4174 ; Expert Systems with Applications ; https://hal.archives-ouvertes.fr/hal-03585035 ; Expert Systems with Applications, Elsevier, 2022 (2022)
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3
Unsupervised quantification of entity consistency between photos and text in real-world news ...
Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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4
Multi language Email Classification Using Transfer learning
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5
Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ...
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6
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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7
Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian
In: Electronics; Volume 11; Issue 3; Pages: 374 (2022)
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8
COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset
In: Healthcare; Volume 10; Issue 3; Pages: 411 (2022)
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9
A Novel Pathological Voice Identification Technique through Simulated Cochlear Implant Processing Systems
In: Applied Sciences; Volume 12; Issue 5; Pages: 2398 (2022)
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10
Considering Commonsense in Solving QA: Reading Comprehension with Semantic Search and Continual Learning
In: Applied Sciences; Volume 12; Issue 9; Pages: 4099 (2022)
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11
Multimodal Lip-Reading for Tracheostomy Patients in the Greek Language
In: Computers; Volume 11; Issue 3; Pages: 34 (2022)
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12
Identifying Learners’ Interaction Patterns in an Online Learning Community
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2245 (2022)
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13
Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models
In: Applied Sciences; Volume 12; Issue 1; Pages: 491 (2022)
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14
An Evolution Gaining Momentum—The Growing Role of Artificial Intelligence in the Diagnosis and Treatment of Spinal Diseases
In: Diagnostics; Volume 12; Issue 4; Pages: 836 (2022)
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15
Artificial Intelligence in Digestive Endoscopy—Where Are We and Where Are We Going?
In: Diagnostics; Volume 12; Issue 4; Pages: 927 (2022)
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16
Detection of Chinese Deceptive Reviews Based on Pre-Trained Language Model
In: Applied Sciences; Volume 12; Issue 7; Pages: 3338 (2022)
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17
Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages
In: Future Internet; Volume 14; Issue 3; Pages: 69 (2022)
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18
The Sustainable Development of Intangible Cultural Heritage with AI: Cantonese Opera Singing Genre Classification Based on CoGCNet Model in China
In: Sustainability; Volume 14; Issue 5; Pages: 2923 (2022)
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19
Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms—A Scoping Review
In: Diagnostics; Volume 12; Issue 4; Pages: 874 (2022)
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20
Automatic Classification Framework of Tongue Feature Based on Convolutional Neural Networks
In: Micromachines; Volume 13; Issue 4; Pages: 501 (2022)
Abstract: Tongue diagnosis is an important part of the diagnostic process in traditional Chinese medicine (TCM). It primarily relies on the expertise and experience of TCM practitioners in identifying tongue features, which are subjective and unstable. We proposed a tongue feature classification framework based on convolutional neural networks to reduce the differences in diagnoses among TCM practitioners. Initially, we used our self-designed instrument to capture 482 tongue photos and created 11 data sets based on different features. Then, the tongue segmentation task was completed using an upgraded facial landmark detection method and UNET. Finally, we used ResNet34 as the backbone to extract features from the tongue photos and classify them. Experimental results show that our framework has excellent results with an overall accuracy of over 86 percent and is particularly sensitive to the corresponding feature regions, and thus it could assist TCM practitioners in making more accurate diagnoses.
Keyword: convolutional neural network; deep learning; image classification; TCM tongue diagnosis; tongue segmentation
URL: https://doi.org/10.3390/mi13040501
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