Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Deep learning on OCT images of skin cancer

Not Accessible

Your library or personal account may give you access

Abstract

Deep learning with neural networks for diagnostics of skin tumors on OCT images is investigated. A convolutional neural network has been used to solve the task of tumor recognition.

© 2017 Optical Society of America

PDF Article
More Like This
Multiple analyze on 3D-OCT images of skin cancer

Dmitry S. Raupov, Oleg O. Myakinin, Ivan A. Bratchenko, Yulia A. Khristoforova, Valery P. Zakharov, and Alexander G. Khramov
JTu2A.74 Frontiers in Optics (FiO) 2017

Ensemble deep learning for breast cancer segmentation in optical coherence tomography (OCT) images

Diana Mojahed, Theresa Lye, Rohan Bareja, Hanina Hibshoosh, and Christine Hendon
TM4B.3 Clinical and Translational Biophotonics (Translational) 2020

Biopsy-free Virtual Histology of Skin Using Reflectance Confocal Microscopy and Deep Learning

Jingxi Li, Jason Garfinkel, Xiaoran Zhang, Di Wu, Yijie Zhang, Kevin de Haan, Hongda Wang, Tairan Liu, Bijie Bai, Yair Rivenson, Gennady Rubinstein, Philip O. Scumpia, and Aydogan Ozcan
ATh2I.3 CLEO: Applications and Technology (CLEO:A&T) 2022

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved