HistoLens is a standalone desktop software for quantitative evaluation of annotated structures in histological whole slide images (WSIs). Users are able to interact with their data through dynamic labeling, interactive figure generation, visualization of hand-engineered features, training a variety of classification algorithms, and generating annotations of histological lesions for downstream analysis.
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S. P. Border†, J. E. Tomaszewski, B. Ginley†, A. Z. Rosenberg, T. Yoshida, J. B. Kopp, and P. Sarder, “HistoLens: A stand-alone desktop application for dynamic interaction and investigation of quantitative histological image features,” in revision for American Journal of Pathology.
Underline indicates corresponding author.
* indicates equal contribution.
§ indicates post doctoral associates.
† indicates Dr. Sarder’s graduate students.
‡ indicates Dr. Sarder’s undergraduate Students.