Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer
for CT Scans

Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans

4 July 2022

Chih-Chung Hsu

Papers citing "Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans"

7 / 7 papers shown

Title
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection D. Kollias Anastasios Arsenos J. Wingate Stefanos D. Kollias 37 2 0 22 Jul 2024
A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection Chih-Chung Hsu Chia-Ming Lee Chiang Fan Yang Yi-Shiuan Chou Chih-Yu Jiang Shen-Chieh Tai Chin-Han Tsai 38 0 0 02 Apr 2024
Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection Chih-Chung Hsu Chia-Ming Lee Chiang Fan Yang Yi-Shiuan Chou Chih-Yu Jiang Shen-Chieh Tai Chin-Han Tsai 32 2 0 17 Mar 2024
COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images Kenan Morani 27 3 0 10 Dec 2023
MIA-3DCNN: COVID-19 Detection Based on a 3D CNN Igor Kenzo Ishikawa Oshiro Nakashima Giovanna Vendramini Hélio Pedrini 26 1 0 19 Mar 2023
Enhanced detection of the presence and severity of COVID-19 from CT scans using lung segmentation R. Turnbull 35 2 0 16 Mar 2023
AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imaging D. Kollias Anastasios Arsenos Stefanos D. Kollias 30 41 0 09 Jun 2022