Work

Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net)

Year: 2020

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2020.101841

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

Institutions: Memorial Sloan Kettering Cancer Center, Northeastern University, Caliber Imaging and Diagnostics (United States), SUNY Downstate Health Sciences University, Universidad de Alcalá, University of Modena and Reggio Emilia, Azienda Sanitaria Unità Locale di Reggio Emilia

Language: English

Topic: Cutaneous Melanoma Detection and Management

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Nvidia, National Institutes of Health, National Cancer Institute

Awards: Automated Image Guidance for Diagnosing Skin Cancer With Confocal Microscopy, Cancer Center Support Grant

OpenAlex ID: W2997064479

FWCI: 1.986

Cites: 61

Cited by: 35

Related to: 10