Reflectance confocal microscopy (RCM) is an effective, non-invasive pre-screening tool for cancer diagnosis. However, acquiring and reading RCM images requires extensive training …
Reflectance confocal microscopy (RCM) is a non-invasive imaging tool widely used for skin cancer screening. Automated analysis of RCM images requires pixel-level annotations, which …
The dermo-epidermal junction (DEJ) is a key anatomical boundary in skin that is clinically important for diagnosing melanocytic lesions using reflectance confocal microscopy (RCM). …
The performance of any task depends on the representation of the data. A good representation should capture the factors of variation relevant to the task at hand while discarding …
In-vivo optical microscopy is advancing into routine clinical practice for non-invasively guiding diagnosis and treatment of cancer and other diseases, and thus beginning to reduce …
In vivo reflectance confocal microscopy (RCM) enables clinicians to examine lesions’ morphological and cytological information in epidermal and dermal layers, while reducing the …
We describe a new multiresolution 'nested encoder-decoder' convolutional network architecture and use it to annotate morphological patterns in reflectance confocal microscopy (RCM) …
Morphological tissue patterns in RCM images are critical in diagnosis of melanocytic lesions. We present a multiresolution deep learning framework that can automatically annotate …
Reflectance confocal microscopy (RCM) is an effective, non-invasive pre-screening tool for cancer diagnosis. However, acquiring and reading RCM images requires extensive training …