Jason R. Hagerty
According to our database1,
Jason R. Hagerty
authored at least 16 papers
between 2012 and 2023.
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Bibliography
2023
J. Digit. Imaging, August, 2023
J. Digit. Imaging, April, 2023
Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion.
CoRR, 2023
2022
Deep learning-based dot and globule segmentation with pixel and blob-based metrics for evaluation.
Intell. Syst. Appl., 2022
2019
Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images.
IEEE J. Biomed. Health Informatics, 2019
2017
IEEE Trans. Instrum. Meas., 2017
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017
Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017
Medical Image Processing in the Age of Deep Learning - Is There Still Room for Conventional Medical Image Processing Techniques?.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017
Nuclei Segmentation using a Level Set Active Contour Method and Spatial Fuzzy C-means Clustering.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017
2014
Comput. Medical Imaging Graph., 2014
2013
Automatic Pill Identification from Pillbox Images.
Proceedings of the VISAPP 2013, 2013
The Median Split Algorithm for Detection of Critical Melanoma Color Features.
Proceedings of the VISAPP 2013, 2013
2012
Using Adaptive Thresholding and Skewness Correction to Detect Gray Areas in Melanoma In Situ Images.
IEEE Trans. Instrum. Meas., 2012
Discrimination of squamous cell carcinoma in situ from seborrheic keratosis by color analysis techniques requires information from scale, scale-crust and surrounding areas in dermoscopy images.
Comput. Biol. Medicine, 2012