Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 123, P. 110099 - 110099
Published: Jan. 22, 2025
Language: Английский
Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 123, P. 110099 - 110099
Published: Jan. 22, 2025
Language: Английский
Signal Processing, Journal Year: 2024, Volume and Issue: 223, P. 109546 - 109546
Published: May 19, 2024
Language: Английский
Citations
4Bioengineering, Journal Year: 2022, Volume and Issue: 10(1), P. 47 - 47
Published: Dec. 30, 2022
Cervical cancer is one of the most common cancers that threaten women's lives, and its early screening great significance for prevention treatment cervical diseases. Pathologically, accurate segmentation cells plays a crucial role in diagnosis cancer. However, frequent presence adherent or overlapping Pap smear images makes separating them individually difficult task. Currently, there are few studies on cells, existing methods commonly suffer from low accuracy complex design processes. To address above problems, we propose novel star-convex polygon-based convolutional neural network with an encoder-decoder structure, called SPCNet. The model accomplishes relying three steps: automatic feature extraction, polygon detection, non-maximal suppression (NMS). Concretely, new residual-based attentional embedding (RAE) block suggested image extraction. It fuses deep features attention-based layers shallow original through residual connection, enhancing network's ability to extract abundant features. And then, adaptive NMS (PA-NMS) algorithm adopted screen generated proposals further achieve detection thus allowing completely segment cell instances images. Finally, effectiveness our method evaluated independent datasets. Extensive experimental results demonstrate obtains superior performance compared other well-established algorithms.
Language: Английский
Citations
17Applied Intelligence, Journal Year: 2025, Volume and Issue: 55(4)
Published: Jan. 10, 2025
Language: Английский
Citations
0Laser & Optoelectronics Progress, Journal Year: 2025, Volume and Issue: 62(2), P. 0200001 - 0200001
Published: Jan. 1, 2025
Citations
0Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 123, P. 110099 - 110099
Published: Jan. 22, 2025
Language: Английский
Citations
0