Výsledky vyhledávání - "Cho, JungHwan"

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Interpretable pap smear cell representation for cervical cancer screening

Autor: Ando, Yu, and, Nora Jee-Young Park, Chong, Gun Oh, Ko, Seokhwan, Lee, Donghyeon, Cho, Junghwan, Han, Hyungsoo

Screening is critical for prevention and early detection of cervical cancer but it is time-consuming and laborious. Supervised deep convolutional neural networks have been developed to automate pap smear screening and the results are promising. Howev

Externí odkaz: http://arxiv.org/abs/2311.10269

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Akademický článek

Machine learning prediction of factors affecting Major League Baseball (MLB) game attendance: algorithm comparisons and macroeconomic factor of unemployment

Autor: Park, Juho, Cho, Junghwan, Gang, Alex C., Lee, Hyun-Woo, Pedersen, Paul M.

Publikováno v: International Journal of Sports Marketing and Sponsorship, 2024, Vol. 25, Issue 2, pp. 382-395.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/IJSMS-06-2023-0129

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Akademický článek

Toward Interpretable Cell Image Representation and Abnormality Scoring for Cervical Cancer Screening Using Pap Smears.

Autor: Ando, Yu¹ (AUTHOR) yuando@knu.ac.kr, Cho, Junghwan² (AUTHOR) joshua@knu.ac.kr, Park, Nora Jee-Young^3,4 (AUTHOR) pathpjy@knu.ac.kr, Ko, Seokhwan¹ (AUTHOR) skanny@knu.ac.kr, Han, Hyungsoo^1,2 (AUTHOR) hshan@knu.ac.kr

Publikováno v: Bioengineering (Basel). Jun2024, Vol. 11 Issue 6, p567. 16p.

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Design, synthesis, and evaluation of purine and pyrimidine-based KRAS G12D inhibitors: Towards potential anticancer therapy

Autor: Park, So-Youn, Gowda Saralamma, Venu Venkatarame, Nale, Sagar Dattatraya, Kim, Chang Joong, Jo, Yun Seong, Baig, Mohammad Hassan, Cho, JungHwan

Publikováno v: In Heliyon 15 April 2024 10(7)

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Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images

Autor: Karki, Manohar, Cho, Junghwan, Ko, Seokhwan

Data augmentation can effectively resolve a scarcity of images when training machine-learning algorithms. It can make them more robust to unseen images. We present a lesion conditional Generative Adversarial Network LcGAN to generate synthetic Comput

Externí odkaz: http://arxiv.org/abs/2003.13868

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