Work

Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy

Year: 2024

Type: article

Abstract: accuracy over the most accurate baseline state-of-the-art Big-to-Small (BTS) approach. All experiments are conducted on a recently released C3VD dataset, and thus, we provide a first benchmark of state-of-the-art methods on this dataset.

Source: Medical Image Analysis

DOI: 10.1016/j.media.2024.103379

Authors: Pedro Esteban Chavarrias Solano, Andrew Bulpitt, Venkataraman Subramanian, Sharib Ali

Institutions: University of Leeds, Leeds Teaching Hospitals NHS Trust

Language: English

Topic: Image Processing Techniques and Applications

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,970

Funder: Crohn's and Colitis UK

OpenAlex ID: W4404025941

FWCI: 1.515

Cites: 80

Cited by: 9

Related to: 10