Mammography Lesion Detection Using an Improved GrowCut Algorithm-Reference-Cited by-同舟云学术

Mammography Lesion Detection Using an Improved GrowCut Algorithm

Published:2021 Issue: Volume:192 Page:308-317
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Moroz-Dubenco Cristiana,Dioşan Laura,Andreica Anca

Publisher

Elsevier BV

Subject

General Engineering

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1. Linear Discriminant Analysis Tumour Classification for Unsupervised Segmented Mammographies;Procedia Computer Science;2023

2. Towards an Unsupervised GrowCut Algorithm for Mammography Segmentation;Lecture Notes in Computer Science;2023

3. Generalizing an Improved GrowCut Algorithm for Mammography Lesion Detection;Lecture Notes in Computer Science;2023

4. The Impact of Convolutional Neural Network Parameters in the Binary Classification of Mammograms;2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC);2022-09

5. An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection;Procedia Computer Science;2022