6 citations · 7 across the 5 of their papers we have counts for
4 papers · 1 filter
A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection
Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang +4
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,…
Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection
Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang +4
This study explores the use of deep learning techniques for analyzing lung Computed Tomography (CT) images. Classic deep learning approaches face challenges with varying slice coun…
Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans
Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee +2
This paper investigates the application of deep learning models for lung Computed Tomography (CT) image analysis. Traditional deep learning frameworks encounter compatibility issue…
Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans
Chih-Chung Hsu, Chi-Han Tsai, Guan-Lin Chen +2
Computed tomography (CT) imaging could be very practical for diagnosing various diseases. However, the nature of the CT images is even more diverse since the resolution and number…