Výsledky vyhledávání - "Hung Minh Le"

Emergence of Different Replica Dirac Cones and Intra- and Intervalley Scatterings in Short-Wavelength Graphene Superlattices Modulated by an Atomic-Scale Sharp Potential

Autor: Nam Hoang Vu, Hieu Van Le, Thang Bach Phan, Nam Thoai, Toan The Nguyen, Hung Minh Le, Yoshiyuki Kawazoe, Thi Minh Cao

Publikováno v: The Journal of Physical Chemistry C. 126:15415-15423

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e809ff9ebbff30b98846be7f55b2aa8
https://doi.org/10.1021/acs.jpcc.2c03176

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MetaAttention model: a new approach for skin lesion diagnosis using AB features and attention mechanism

Autor: Hung Duy To, Huy Gia Nguyen, Hang Thi Thuy Le, Hung Minh Le, Tho Thanh Quan

Publikováno v: Biomedical Physics & Engineering Express. 9:045008

Ozone depletion has always been a hot crisis around the globe. Its consequence is the increase in ultraviolet radiation at the surface in many regions and countries, which then causes danger to the human immune system, eyes, and especially skin - the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e24898ed6c86cbaf69933ffea908f559
https://doi.org/10.1088/2057-1976/acd1f0

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AUTOMATIC HEART DISEASE PREDICTION USING FEATURE SELECTION AND DATA MINING TECHNIQUE

Autor: Lang Van Tran, Hung Minh Le, Toan Dinh Tran

Publikováno v: Journal of Computer Science and Cybernetics. 34:33-48

This paper presents an automatic Heart Disease (HD) prediction method based on feature selection and data mining techniques using provided symptoms and clinical information in the patient’s dataset. Data mining which allows the extraction of hidden

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::61702cd715dedff10ba5bc13cedda990
https://doi.org/10.15625/1813-9663/34/1/12665

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Akademický článek

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Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI Based on Multimodal Convolutional Neural Networks

Autor: Kwang-Ting Cheng, Liang Wang, Hung Minh Le, Zhiwei Wang, Xin Yang, Chaoyue Liu, Jingyu Chen

Publikováno v: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 ISBN: 9783319661780
MICCAI (3)

This paper presents an automated method for jointly localizing prostate cancer (PCa) in multi-parametric MRI (mp-MRI) images and assessing the aggressiveness of detected lesions. Our method employs multimodal multi-label convolutional neural networks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8a7b48fd816f134c7fde42e34f876db
https://doi.org/10.1007/978-3-319-66179-7_49

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