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COVID-19 Detection Using Slices Processing Techniques and a Modified
  Xception Classifier from Computed Tomography Images

COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images

10 December 2023
Kenan Morani
ArXivPDFHTML

Papers citing "COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images"

4 / 4 papers shown
Title
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for
  Covid-19 Detection
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection
D. Kollias
Anastasios Arsenos
J. Wingate
Stefanos D. Kollias
26
2
0
22 Jul 2024
Can Machine Learning Assist in Diagnosis of Primary Immune
  Thrombocytopenia? A feasibility study
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility study
Haroon Miah
Dimitrios Kollias
G. Pedone
D. Provan
Frederick Chen
35
10
0
31 May 2024
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
Chih-Chung Hsu
Chin-Han Tsai
Guangfeng Chen
Sin-Di Ma
Shen-Chieh Tai
MedIm
13
9
0
04 Jul 2022
Visual Transformer with Statistical Test for COVID-19 Classification
Visual Transformer with Statistical Test for COVID-19 Classification
Chih-Chung Hsu
Guan-Lin Chen
Mei-Hsuan Wu
ViT
MedIm
61
15
0
12 Jul 2021
1