Intelligent skin lesion segmentation using deformable attention Transformer U‐Net with bidirectional attention mechanism in skin cancer images

Our experiment results validate the proposed BiADATU-Net achieves competitive performance supremacy compared to some state-of-the-art methods. It is potential and valuable in the field of skin lesion segmentation.

Authors

Institutions

Publication Details

Journal
Skin Research and Technology
Published
2024-08-01
DOI
https://doi.org/10.1111/srt.13783
Citations
16
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
4.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intelligent skin lesion segmentation using deformable attention Transformer U‐Net with bidirectional attention mechanism in skin cancer images

Lili Cai, S. Zhou, Keke Hou
16 citations
Skin Research and Technology
Cutaneous Melanoma Detection and Management
4.52
article

Intelligent skin lesion segmentation using deformable attention Transformer U‐Net with bidirectional attention mechanism in skin cancer images

Lili Cai, S. Zhou, Keke Hou
article en
16 citations

Abstract

Our experiment results validate the proposed BiADATU-Net achieves competitive performance supremacy compared to some state-of-the-art methods. It is potential and valuable in the field of skin lesion segmentation.

Skin Research and TechnologyVol. 30(8)
Anhui Xinhua University (CN), Guangzhou Xinhua University
Openalex Percentile: Top 4%
Cutaneous Melanoma Detection and Management
4.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.