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

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 through m...

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Bibliographic Details
Published in:	Scientific reports Vol. 14; no. 1; pp. 25859 - 12
Main Authors:	Biesok, Marta, Juszczyk, Jan, Badura, Pawel
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 28.10.2024 Nature Publishing Group Nature Portfolio
Subjects:	631/67/1347 631/67/2321 639/166/985 692/700/1421/1860 Active contours Algorithms Breast cancer Breast Neoplasms - diagnostic imaging Breast Neoplasms - pathology Breast tumor segmentation Convolutional neural networks Deep Learning Female Fuzzy connectedness Fuzzy Logic Humanities and Social Sciences Humans Image Interpretation, Computer-Assisted - methods Image processing Image Processing, Computer-Assisted - methods multidisciplinary Neural networks Neural Networks, Computer Science Science (multidisciplinary) Segmentation Tumors Ultrasonic imaging Ultrasonography - methods Ultrasonography, Mammary - methods Ultrasound Fuzzy connectedness Breast cancer Breast tumor segmentation Convolutional neural networks Ultrasound Active contours
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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