ARU NET: Follicle Segmentation from Ultrasound Images of Ovaries Using Attention Residual U-NET Model

Debasmita Saha; Arup K. Mandal; Saroj Kr. Biswas; Arijit Bhattacharya; Akhil Das

doi:10.1007/978-3-031-81935-3_25

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ARU NET: Follicle Segmentation from Ultrasound Images of Ovaries Using Attention Residual U-NET Model

Debasmita Saha Arup K. Mandal Saroj Kr. Biswas Arijit Bhattacharya Akhil Das

Year: 2025 Communications in computer and information science Pages: 287-298 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-81935-3_25

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Keywords:

Net (polyhedron) Segmentation Residual Follicle Computer science Artificial intelligence Gynecology Biology Botany Medicine Mathematics Algorithm Geometry

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Smart Systems and Machine Learning

Physical Sciences → Computer Science → Computer Networks and Communications

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Ovarian function and disorders

Health Sciences → Medicine → Reproductive Medicine

ARU NET: Follicle Segmentation from Ultrasound Images of Ovaries Using Attention Residual U-NET Model

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Citation History

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