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Deep Learning based Intelligent Tumor Analytics Framework for Quantitative Grading and Analyzing Cancer Metastasis: Case of Lymph Node Breast Cancer
Journal article
Li, Tengyue, Fong, Simon, Wu, Yaoyang, Zhang, Xin, Song, Qun, Qin, Huafeng, Mohammed, Sabah, Feng, Tian, Gao, Juntao, Sciarrone, Andrea. Deep Learning based Intelligent Tumor Analytics Framework for Quantitative Grading and Analyzing Cancer Metastasis: Case of Lymph Node Breast Cancer[J]. IEEE Transactions on Emerging Topics in Computing, 2024, 1 - 16.
Authors:
Li, Tengyue
;
Fong, Simon
;
Wu, Yaoyang
;
Zhang, Xin
;
Song, Qun
; et al.
Favorite
|
TC[Scopus]:
0
IF:
5.1
/
4.5
|
Submit date:2024/12/05
Metastasis Assessment
Cancer Diagnosis
Intelligent Tumor Analytics (Ita)
Deep Learning
Histopathological Imaging
Tumor Grading Standards
Multimodal Machine Learning for Prognosis and Survival Prediction in Renal Cell Carcinoma Patients: A Two-Stage Framework with Model Fusion and Interpretability Analysis
Journal article
Yan, Keyue, Fong, Simon, Li, Tengyue, Song, Qun. Multimodal Machine Learning for Prognosis and Survival Prediction in Renal Cell Carcinoma Patients: A Two-Stage Framework with Model Fusion and Interpretability Analysis[J]. APPLIED SCIENCES-BASEL, 2024, 14(13), 5686.
Authors:
Yan, Keyue
;
Fong, Simon
;
Li, Tengyue
;
Song, Qun
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
IF:
2.5
/
2.7
|
Submit date:2024/08/05
Machine Learning
Multimodal Data
Renal Cell Carcinoma
Survival Prediction
A review on multimodal machine learning in medical diagnostics
Review article
2023
Authors:
Keyue Yan
;
Tengyue Li
;
João Alexandre Lobo Marques
;
Juntao Gao
;
Simon James Fong
Favorite
|
TC[WOS]:
7
TC[Scopus]:
12
IF:
2.600
/
2.300
|
Submit date:2023/08/03
Deep Learning
Machine Learning
Medical Data
Multimodal Learning
Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case
Journal article
Zhou,Jiaming, Li,Tengyue, Fong,Simon James, Dey,Nilanjan, Crespo,Rubén González. Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case[J]. International Journal of Interactive Multimedia and Artificial Intelligence, 2023, 8(2), 7-13.
Authors:
Zhou,Jiaming
;
Li,Tengyue
;
Fong,Simon James
;
Dey,Nilanjan
;
Crespo,Rubén González
Favorite
|
TC[WOS]:
12
TC[Scopus]:
12
IF:
3.4
/
2.8
|
Submit date:2023/08/03
Artificial Intelligence
Chatgpt
E-assessment
Gastric Cancer
Medicine
Group theoretic particle swarm optimization for multi-level threshold lung cancer image segmentation
Journal article
Lan, Kun, Zhou, Jianqiang, Jiang, Xiaoliang, Wang, Jun, Huang, Shigao, Yang, Jie, Song, Qun, Tang, Rui, Gong, Xueyuan, Liu, Kexing, Wu, Yaoyang, Li, Tengyue. Group theoretic particle swarm optimization for multi-level threshold lung cancer image segmentation[J]. Quantitative Imaging in Medicine and Surgery, 2022, 13(3), 1312-1322.
Authors:
Lan, Kun
;
Zhou, Jianqiang
;
Jiang, Xiaoliang
;
Wang, Jun
;
Huang, Shigao
; et al.
Favorite
|
TC[WOS]:
4
TC[Scopus]:
4
IF:
2.9
/
3.2
|
Submit date:2023/04/03
Evolutionary Computation
Group Theory
Lung Cancer Detection
Medical Image Segmentation
Metaheuristic
Virtual Interactions of Companion Pet Effects for Remote Pet Owners
Conference paper
Xie, Haoxue, Li, Tengyue, Fong, Simon. Virtual Interactions of Companion Pet Effects for Remote Pet Owners[C]:Association for Computing Machinery, 2022, 64-69.
Authors:
Xie, Haoxue
;
Li, Tengyue
;
Fong, Simon
Favorite
|
TC[Scopus]:
0
|
Submit date:2023/01/30
Virtual Interactions
Iot
Pet Effects
Remote Pet-care
Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning
Journal article
Li, Tengyue, Fong, Simon, Mohammed, Sabah, Fiaidhi, Jinan, Guan, Steven, Chang, Victor. Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning[J]. Future Generation Computer Systems-The International Journal of eScience, 2022, 133, 10-22.
Authors:
Li, Tengyue
;
Fong, Simon
;
Mohammed, Sabah
;
Fiaidhi, Jinan
;
Guan, Steven
; et al.
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
6.2
/
5.9
|
Submit date:2022/05/13
Algorithm
Classification Model Training
Deep Learning
Machine Learning
Medical Dataset
Multi-class Classification
Parameter Optimization
Radiological Images Recognition
Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learni
Journal article
Li, Tengyue, Fong, Simon, Mohammed, Sabah, Fiaidhi, Jinan, Guan, Steven, Chang, Victor. Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learni[J]. Future Generation Computer Systems, 2022, 133(1), 10-22.
Authors:
Li, Tengyue
;
Fong, Simon
;
Mohammed, Sabah
;
Fiaidhi, Jinan
;
Guan, Steven
; et al.
Adobe PDF
|
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
6.2
/
5.9
|
Submit date:2022/08/31
Machine Learning
Deep Learning
Multi-class Classification
Parameter Optimization
Classification Model Training
Medical Dataset
Radiological Images Recognition
A brick-up model for recombining metaheuristic optimisation algorithm using analytic hierarchy process
Journal article
Qun Song, Tengyue Li, Simon Fong, Shuang Liu. A brick-up model for recombining metaheuristic optimisation algorithm using analytic hierarchy process[J]. Applied Intelligence, 2022, 53(3), 3166-3182.
Authors:
Qun Song
;
Tengyue Li
;
Simon Fong
;
Shuang Liu
Favorite
|
TC[WOS]:
3
TC[Scopus]:
4
IF:
3.4
/
3.9
|
Submit date:2022/08/05
Analytic Hierarchy Process
Brick-up Recombination
Metaheuristic Optimisation Problem
A fast feature selection method based on coefficient of variation for diabetics prediction using machine learning
Book chapter
出自: Research Anthology on Machine Learning Techniques, Methods, and Applications:IGI Global, 2022, 页码:241-251
Authors:
Tengyue Li
;
Simon Fong
Favorite
|
TC[Scopus]:
0
|
Submit date:2022/09/30