ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation

Ming Kang; Chee‐Ming Ting; Fung Fung Ting; Raphaël C.‐W. Phan

doi:10.1016/j.imavis.2024.105057

ScienceGate Book Chapters

JOURNAL ARTICLE

ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation

Ming Kang Chee‐Ming Ting Fung Fung Ting Raphaël C.‐W. Phan

Year: 2024 Journal: Image and Vision Computing Vol: 147 Pages: 105057-105057 Publisher: Elsevier BV

DOI: 10.1016/j.imavis.2024.105057

Get Full-Text PDF Get Analytical Report

Keywords:

Segmentation Artificial intelligence Computer science Encoder Fuse (electrical) Fusion mechanism Feature (linguistics) Pattern recognition (psychology) Inference Scale (ratio) Computer vision Sequence (biology) Code (set theory) Position (finance) Fusion Cartography Engineering

Metrics

321

Cited By

205.05

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation

Metrics

Citation History

Topics

Related Documents

AM YOLO: adaptive multi-scale YOLO for ship instance segmentation

UMIS-YOLO: Underwater Multimodal Images Instance Segmentation With YOLO

AS-YOLO: A Novel YOLO Model with Multi-Scale Feature Fusion for Intracranial Aneurysm Recognition

BCE YOLOv8: a novel YOLO model for brain tumor instance segmentation

Multi-scale adaptive YOLO for instance segmentation of grape pedicels