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Jack Greenhalgh
Jack Greenhalgh
Artificial Intelligence Director
Dirección de correo verificada de skinanalytics.co.uk - Página principal
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Real-time detection and recognition of road traffic signs
J Greenhalgh, M Mirmehdi
IEEE transactions on intelligent transportation systems 13 (4), 1498-1506, 2012
4932012
Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions
M Phillips, H Marsden, W Jaffe, RN Matin, GN Wali, J Greenhalgh, ...
JAMA Network Open 2 (10), e1913436-e1913436, 2019
1512019
Recognizing text-based traffic signs
J Greenhalgh, M Mirmehdi
IEEE Transactions on Intelligent Transportation Systems 16 (3), 1360-1369, 2014
1502014
Traffic sign recognition using MSER and random forests
J Greenhalgh, M Mirmehdi
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012
732012
Detection of Malignant Melanoma Using Artificial Intelligence: An Observational Study of Diagnostic Accuracy
M Phillips, J Greenhalgh, H Marsden, I Palamaras
Dermatology Practical & Conceptual 10 (4), 2019
612019
Detection and Recognition of Painted Road Surface Markings
J Greenhalgh, M Mirmehdi
4th International Conference on Pattern Recognition Applications and Methods, 2015
272015
Automatic detection and recognition of symbols and text on the road surface
J Greenhalgh, M Mirmehdi
Pattern Recognition: Applications and Methods: 4th International Conference …, 2015
212015
JFD and Morgan, CA (1995)
PE McDonald, RA Edwards, J Greenhalgh
Animal nutrition 5, 221-237, 0
17
Animal nutrition
CA Morgan, JED Greenhalgh, LA Sinclair, RG Wilkinson
Pearson, 2002
92002
Animal nutrition. NY
P McDonald, RA Edwards, JED Greenhalgh, CA Morgan
Longman, 1995
61995
F. D.(1973)
P McDonald, RA Edwards, J Greenhalgh
Animal nutrition, 0
6
Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance
L Thomas, C Hyde, D Mullarkey, J Greenhalgh, D Kalsi, J Ko
Frontiers in Medicine 10, 2023
22023
BT03 (P63) Effectiveness of an image-analysing artificial intelligence-based digital health technology to diagnose nonmelanoma skin cancer and benign skin lesions
H Marsden, I Palamaras, P Kemos, J Greenhalgh
British Journal of Dermatology 188 (Supplement_4), ljad113. 369, 2023
12023
Effectiveness of an image analyzing AI-based Digital Health Technology to identify Non-Melanoma Skin Cancer and other skin lesions: results of the DERM-003 study
H Marsden, C Morgan, S Austin, C DeGiovanni, M Venzi, P Kemos, ...
Frontiers in Medicine 10, 2023
12023
Assessment of the change in accuracy of an artificial intelligence algorithm for the detection of skin cancer in camera images following diversification and training
M Phillips, J Greenhalgh
12020
CALIBRATING OUTPUT FROM AN IMAGE CLASSIFIER
J Greenhalgh, P Kemos, D Bazaga Garcia, N Daly
US Patent App. 17/934,182, 2024
2024
Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance
D Kalsi, L Thomas, C Hyde, D Mullarkey, J Greenhalgh, JM Ko
2023
Driver assistance using automated symbol and text recognition
J Greenhalgh
University of Bristol, 2015
2015
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Artículos 1–18