Work

Pelvic Tumor Segmentation in MRI Images Using Deep Learning with DeepLabV3+ and U-Net: A Performance Comparison

Year: 2024

Type: conference-paper

Source: Biomedical Engineering International Conference

DOI: 10.1109/bmeicon64021.2024.10896343

Authors: Noppanon Nobnop, Naramon Yamcharoen, Chamaiporn Sukjamsri, Thanadon Piboonthummasak, Theekapun Charoenpong, Piya Kiatisevi

Institutions: Srinakharinwirot University, Lerdsin Hospital

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4407951245

FWCI: 0.458

Cites: 13

Cited by: 2

Related to: 10