Automated localization and segmentation techniques for B-mode ultrasound images: A review
B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
Application of wavelet techniques for cancer diagnosis using ultrasound images: a review
Ultrasound is an important and low cost imaging modality used to study the internal organs
of human body and blood flow through blood vessels. It uses high frequency sound waves to …
of human body and blood flow through blood vessels. It uses high frequency sound waves to …
A pre-trained convolutional neural network based method for thyroid nodule diagnosis
In ultrasound images, most thyroid nodules are in heterogeneous appearances with various
internal components and also have vague boundaries, so it is difficult for physicians to …
internal components and also have vague boundaries, so it is difficult for physicians to …
An open access thyroid ultrasound image database
Computer aided diagnosis systems (CAD) have been developed to assist radiologists in the
detection and diagnosis of abnormalities and a large number of pattern recognition …
detection and diagnosis of abnormalities and a large number of pattern recognition …
Computer aided thyroid nodule detection system using medical ultrasound images
Thyroid nodule is one of the endocrine problem caused due to abnormal growth of cells.
This survival rate can be enhanced by earlier detection of nodules. Thus, the accurate …
This survival rate can be enhanced by earlier detection of nodules. Thus, the accurate …
Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images
Purpose It is very important for calculation of clinical indices and diagnosis to detect thyroid
nodules from ultrasound images. However, this task is a challenge mainly due to …
nodules from ultrasound images. However, this task is a challenge mainly due to …
Thyroid nodule segmentation and classification in ultrasound images through intra-and inter-task consistent learning
Thyroid nodule segmentation and classification in ultrasound images are two essential but
challenging tasks for computer-aided diagnosis of thyroid nodules. Since these two tasks …
challenging tasks for computer-aided diagnosis of thyroid nodules. Since these two tasks …
Automated delineation of thyroid nodules in ultrasound images using spatial neutrosophic clustering and level set
An accurate contour estimation plays a significant role in classification and estimation of
shape, size, and position of thyroid nodule. This helps to reduce the number of false …
shape, size, and position of thyroid nodule. This helps to reduce the number of false …
A machine learning-based diagnosis of thyroid cancer using thyroid nodules ultrasound images
X Ma, B Xi, Y Zhang, L Zhu, X Sui, G Tian… - Current …, 2020 - ingentaconnect.com
Background: Ultrasound test is one of the routine tests for the diagnosis of thyroid cancer.
The diagnosis accuracy depends largely on the correct interpretation of ultrasound images …
The diagnosis accuracy depends largely on the correct interpretation of ultrasound images …
Comparative assessment of texture features for the identification of cancer in ultrasound images: a review
In this paper, we review the use of texture features for cancer detection in Ultrasound (US)
images of breast, prostate, thyroid, ovaries and liver for Computer Aided Diagnosis (CAD) …
images of breast, prostate, thyroid, ovaries and liver for Computer Aided Diagnosis (CAD) …