Key Technology Considerations in Developing and Deploying Machine
Learning Models in Clinical Radiology Practice

Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice

JMIR Medical Informatics (JMIR Med Inform), 2021

3 February 2021

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Papers citing "Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice"

6 / 6 papers shown

Title
Empirical investigation of multi-source cross-validation in clinical machine learning Tuija Leinonen David Wong Ali Wahab Ramesh Nadarajah M. Kaisti A. Airola OOD 83 1 0 22 Mar 2024
A Closer Look at AUROC and AUPRC under Class ImbalanceNeural Information Processing Systems (NeurIPS), 2024 Matthew B. A. McDermott Lasse Hyldig Hansen Haoran Zhang Giovanni Angelotti Jack Gallifant 612 80 0 11 Jan 2024
Creating awareness about security and safety on highways to mitigate wildlife-vehicle collisions by detecting and recognizing wildlife fences using deep learning and drone technology Irene Nandutu M. Atemkeng P. Okouma N. Mgqatsa J. Ebongue F. Tchakounté 55 0 0 22 Dec 2022
A Classical-Quantum Convolutional Neural Network for Detecting Pneumonia from Chest Radiographs V. Kulkarni S. Pawale A. Kharat 214 15 0 19 Feb 2022
Levels of Autonomous Radiology S. Ghuwalewala V. Kulkarni R. Pant A. Kharat MedIm 151 12 0 14 Dec 2021
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017 Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 724 5,009 0 17 Feb 2017