Quantification of heterogeneity as a biomarker in tumor imaging: a systematic review
Background Many techniques are proposed for the quantification of tumor heterogeneity as
an imaging biomarker for differentiation between tumor types, tumor grading, response …
an imaging biomarker for differentiation between tumor types, tumor grading, response …
Artificial intelligence in thyroid ultrasound
CL Cao, QL Li, J Tong, LN Shi, WX Li, Y Xu… - Frontiers in …, 2023 - frontiersin.org
Artificial intelligence (AI), particularly deep learning (DL) algorithms, has demonstrated
remarkable progress in image-recognition tasks, enabling the automatic quantitative …
remarkable progress in image-recognition tasks, enabling the automatic quantitative …
Thyroid nodule classification in ultrasound images by fine-tuning deep convolutional neural network
With many thyroid nodules being incidentally detected, it is important to identify as many
malignant nodules as possible while excluding those that are highly likely to be benign from …
malignant nodules as possible while excluding those that are highly likely to be benign from …
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 …
Deep convolution neural network for big data medical image classification
Deep learning is one of the most unexpected machine learning techniques which is being
used in many applications like image classification, image analysis, clinical archives and …
used in many applications like image classification, image analysis, clinical archives and …
Texture analysis and machine learning to characterize suspected thyroid nodules and differentiated thyroid cancer: Where do we stand?
In thyroid imaging,“texture” refers to the echographic appearence of the parenchyma or a
nodule. However, definition of the image characteristics is operator dependent and …
nodule. However, definition of the image characteristics is operator dependent and …
Thyroid lesion classification in 242 patient population using Gabor transform features from high resolution ultrasound images
Thyroid cancer commences from an atypical growth of thyroid tissue at the edge of the
thyroid gland. Initially, it forms a lump in the throat and an over-growth of this tissue leads to …
thyroid gland. Initially, it forms a lump in the throat and an over-growth of this tissue leads to …
Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesions
Thyroid is a small gland situated at the anterior side of the neck and one of the largest
glands of the endocrine system. The abrupt cell growth or malignancy in the thyroid gland …
glands of the endocrine system. The abrupt cell growth or malignancy in the thyroid gland …
Thyroid nodule recognition using a joint convolutional neural network with information fusion of ultrasound images and radiofrequency data
Objective To develop a deep learning–based method with information fusion of US images
and RF signals for better classification of thyroid nodules (TNs). Methods One hundred sixty …
and RF signals for better classification of thyroid nodules (TNs). Methods One hundred sixty …
Automatic recognition and classification system of thyroid nodules in CT images based on CNN
W Li, S Cheng, K Qian, K Yue… - Computational …, 2021 - Wiley Online Library
Thyroid nodule lesions are one of the most common lesions of the thyroid; the incidence rate
has been the highest in the past thirty years. X‐ray computed tomography (CT) plays an …
has been the highest in the past thirty years. X‐ray computed tomography (CT) plays an …