NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM

NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM

Nuclei identification is a fundamental task in many areas of biomedical image analysis related to computational pathology applications. Nowadays, deep learning is the primary approach by which to segment the nuclei, but accuracy is closely linked to the amount of histological ground truth data for t...

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Bibliographic Details
Main Authors: Nicola Altini, Antonio Brunetti, Emilia Puro, Maria Giovanna Taccogna, Concetta Saponaro, Francesco Alfredo Zito, Simona De Summa, Vitoantonio Bevilacqua
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Bioengineering
Subjects:
nuclei segmentation
histopathology
deep learning
Grad-CAM
semantic segmentation
instance segmentation
Online Access:https://www.mdpi.com/2306-5354/9/9/475

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https://www.mdpi.com/2306-5354/9/9/475

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