Breast tumor segmentation in ultrasound using distance-adapted fuzzy connectedness, convolutional neural network, and active contour

Breast tumor segmentation in ultrasound using distance-adapted fuzzy connectedness, convolutional neural network, and active contour

Abstract This study addresses computer-aided breast cancer diagnosis through a hybrid framework for breast tumor segmentation in ultrasound images. The core of the three-stage method is based on the autoencoder convolutional neural network. In the first stage, we prepare a hybrid pseudo-color image...

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Bibliographic Details
Main Authors: Marta Biesok, Jan Juszczyk, Pawel Badura
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Breast cancer
Ultrasound
Breast tumor segmentation
Fuzzy connectedness
Convolutional neural networks
Active contours
Online Access:https://doi.org/10.1038/s41598-024-76308-x

Internet

https://doi.org/10.1038/s41598-024-76308-x

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