1 code implementation • 2 Apr 2024 • Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang, Yi-Shiuan Chou, Chih-Yu Jiang, Shen-Chieh Tai, Chi-Han Tsai
Conventional Computed Tomography (CT) imaging recognition faces two significant challenges: (1) There is often considerable variability in the resolution and size of each CT scan, necessitating strict requirements for the input size and adaptability of models.
1 code implementation • 17 Mar 2024 • Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang, Yi-Shiuan Chou, Chih-Yu Jiang, Shen-Chieh Tai, Chi-Han Tsai
This study explores the use of deep learning techniques for analyzing lung Computed Tomography (CT) images.
no code implementations • 15 Mar 2023 • Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee, Chi-Han Tsai, Sheng-Chieh Dai
This paper investigates the application of deep learning models for lung Computed Tomography (CT) image analysis.
no code implementations • 4 Jul 2022 • Chih-Chung Hsu, Chi-Han Tsai, Guan-Lin Chen, Sin-Di Ma, Shen-Chieh Tai
However, the nature of the CT images is even more diverse since the resolution and number of the slices of a CT scan are determined by the machine and its settings.