Nuclei Segmentation in Hepatocytes Using YOLO and SAM

• Published in: International Conference on Systems, Signals, and Image Processing (Online) pp. 1 - 6
• Main Authors: Da Silva, Sergio A., Berton, Leandro E. F., Carvalho, Mateus F. T., Bernardo, Carla C. O., Perles, Juliana V. C. M., Zanoni, Jacqueline N., Nanni, Loris, Sevilha, Andre L. R. G., Felipe, Gustavo Z., Flores, Franklin C., Costa, Yandre M. G.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.07.2024
• Subjects: Analytical models; Annotations; Image segmentation; Manuals; Object detection; Quantification; Segment Anything Model; Segmentation; Task analysis; YOLO

This paper presents a hybrid approach that inte- grates the YOLO architecture for the detection of hepatocyte nuclei and the SAM for the segmentation of these cellular structures. This hybrid approach aims to facilitate and improve the task of quantification and morphometry analysis of cells in hist...