Work

CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy

Year: 2022

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-16449-1_49

Authors: Shawn Mathew, Saad Nadeem, Arie Kaufman

Institutions: Stony Brook University, Memorial Sloan Kettering Cancer Center

Language: English

Topic: Colorectal Cancer Screening and Detection

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: National Science Foundation, Memorial Sloan-Kettering Cancer Center, National Cancer Institute

Awards: G2051006376, I/UCRC: Center for Visual and Decision Informatics (CVDI) Site at SUNY Stony Brook, G4583515593, MRI: Acquisition of Heterogeneous Computer System for Machine Learning, CoPe: RCN: A Coastal Alliance Network for Visualization, Assessment, Science, and Stakeholders (CANVASS) for Convergent Environmental Problem Solving, G7556015768, Cancer Center Support Grant

OpenAlex ID: W4296195952

FWCI: 4.078

Cites: 23

Cited by: 9

Related to: 10