Work

A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images

Year: 2018

Type: conference-paper

Abstract: Morphological tissue patterns in RCM images are critical in diagnosis of melanocytic lesions. We present a multiresolution deep learning framework that can automatically annotate RCM images for these diagnostic patterns with high sensitivity and specificity.

Source: Optics in the Life Sciences

DOI: 10.1364/microscopy.2018.mth2a.1

Authors: Kivanc Kose, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Dana H. Brooks, Jennifer G. Dy, Milind M. Rajadhyaksha

Institutions: Memorial Sloan Kettering Cancer Center, Northeastern University

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2786852818

FWCI: 0.102

Cites: 6

Cited by: 1

Related to: 10