425 citations · 668 across the 6 of their papers we have counts for
6 papers
Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion
Norsang Lama, R. Joe Stanley, Anand Nambisan +3
Deep learning implemented with convolutional network architectures can exceed specialists' diagnostic accuracy. However, whole-image deep learning trained on a given dataset may no…
Feature based Sequential Classifier with Attention Mechanism
Sudhir Sornapudi, R. Joe Stanley, William V. Stoecker +5
Cervical cancer is one of the deadliest cancers affecting women globally. Cervical intraepithelial neoplasia (CIN) assessment using histopathological examination of cervical biopsy…
Lesion Border Detection in Dermoscopy Images
M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer +1
Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human in…
Approximate Lesion Localization in Dermoscopy Images
M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer +1
Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human in…
An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images
M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi +3
Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human in…
Automatic Detection of Blue-White Veil and Related Structures in Dermoscopy Images
M. Emre Celebi, Hitoshi Iyatomi, William V. Stoecker +4
Dermoscopy is a non-invasive skin imaging technique, which permits visualization of features of pigmented melanocytic neoplasms that are not discernable by examination with the nak…