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Classification of Multiple Diseases on Body CT Scans using Weakly
  Supervised Deep Learning
v1v2v3 (latest)

Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep Learning

3 August 2020
F. I. Tushar
Vincent M. DÁnniballe
Rui Hou
Maciej A. Mazurowski
Wanyi Fu
Ehsan Samei
Heidi Hanson
Joseph Y. Lo
    OOD
ArXiv (abs)PDFHTML

Papers citing "Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep Learning"

7 / 7 papers shown
Generative AI for Software Architecture. Applications, Challenges, and Future Directions
Generative AI for Software Architecture. Applications, Challenges, and Future DirectionsJournal of Systems and Software (JSS), 2025
Matteo Esposito
Xiaozhou Li
Sergio Moreschini
Noman Ahmad
T. Cerný
Karthik Vaidhyanathan
Valentina Lenarduzzi
Davide Taibi
AI4CE
234
0
0
17 Mar 2025
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
F. I. Tushar
Avivah Wang
Lavsen Dahal
Michael R. Harowicz
Kyle J. Lafata
Jayashree Kalpathy-Cramer
Joseph Y. Lo
Tina D. Tailor
Cynthia Rudin
Joseph Y. Lo
285
6
0
07 May 2024
Adaptive Local Binary Pattern: A Novel Feature Descriptor for Enhanced
  Analysis of Kidney Abnormalities in CT Scan Images using ensemble based
  Machine Learning Approach
Adaptive Local Binary Pattern: A Novel Feature Descriptor for Enhanced Analysis of Kidney Abnormalities in CT Scan Images using ensemble based Machine Learning Approach
Tahmim Hossain
Faisal Sayed
Solehin Islam
140
2
0
22 Apr 2024
The Utility of the Virtual Imaging Trials Methodology for Objective Characterization of AI Systems and Training Data
The Utility of the Virtual Imaging Trials Methodology for Objective Characterization of AI Systems and Training Data
F. I. Tushar
Lavsen Dahal
S. Sotoudeh-Paima
E. Abadi
W. Paul Segars
Ehsan Samei
Joseph Y. Lo
363
1
0
17 Aug 2023
Weakly Supervised Learning Significantly Reduces the Number of Labels
  Required for Intracranial Hemorrhage Detection on Head CT
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT
Jacopo Teneggi
Paul H. Yi
Jeremias Sulam
160
4
0
29 Nov 2022
Virtual vs. Reality: External Validation of COVID-19 Classifiers using
  XCAT Phantoms for Chest Computed Tomography
Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography
F. I. Tushar
E. Abadi
S. Sotoudeh-Paima
Rafael B. Fricks
Maciej A. Mazurowski
W. Paul Segars
Ehsan Samei
Joseph Y. Lo
150
7
0
07 Mar 2022
Quality or Quantity: Toward a Unified Approach for Multi-organ
  Segmentation in Body CT
Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT
F. I. Tushar
Husam Nujaim
Wanyi Fu
E. Abadi
Maciej A. Mazurowski
Ehsan Samei
W. Paul Segars
Joseph Y. Lo
3DPC
65
2
0
03 Mar 2022
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