Work

A Comparative Analysis of Loss Functions in Segmentation of Medical Images with Highly Imbalanced Class Distribution: An Experimental Study for Deep Nuclei Segmentation

Year: 2024

Type: conference-paper

Source: International Conference on Innovations in Intelligent Systems and Applications (INISTA)

DOI: 10.1109/inista62901.2024.10683828

Authors: Serdar Yıldız, Abbas Memiş, Songül Varlı

Institutions: Istanbul University, Yıldız Technical University

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: W4402811767

FWCI: 0.211

Cites: 23

Cited by: 1

Related to: 10