Multi-feature based benchmark for cervical dysplasia classification evaluation

Pattern Recognition, Volume 63, 2017, Pages 468-475.

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Keywords:
Cervical cancer screeningcomputer aided diagnosisconvolutional neural networkimage classificationlocal binary patternsMore(1+)

Abstract:

Cervical cancer is one of the most common types of cancer in women worldwide. Most deaths due to the disease occur in less developed areas of the world. In this work, we introduce a new image dataset along with expert annotated diagnoses for evaluating image-based cervical disease classification algorithms. A large number of Cervigram ima...More

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