Vision transformers for classification of breast ultrasound images
Medical ultrasound (US) imaging has become a prominent modality for breast cancer
imaging due to its ease of use, low cost, and safety. In the past decade, convolutional neural …
imaging due to its ease of use, low cost, and safety. In the past decade, convolutional neural …
Robust scatterer number density segmentation of ultrasound images
Quantitative ultrasound (QUS) aims to reveal information about the tissue microstructure
using backscattered echo signals from clinical scanners. Among different QUS parameters …
using backscattered echo signals from clinical scanners. Among different QUS parameters …
Vit-deit: An ensemble model for breast cancer histopathological images classification
A Alotaibi, T Alafif, F Alkhilaiwi, Y Alatawi… - … Innovations in Smart …, 2023 - ieeexplore.ieee.org
Breast cancer is the most common cancer in the world and the second most common type of
cancer that causes death in women. The timely and accurate diagnosis of breast cancer …
cancer that causes death in women. The timely and accurate diagnosis of breast cancer …
Ultrasound scatterer density classification using convolutional neural networks and patch statistics
Quantitative ultrasound (QUS) can reveal crucial information on tissue properties, such as
scatterer density. If the scatterer density per resolution cell is above or below 10, the tissue is …
scatterer density. If the scatterer density per resolution cell is above or below 10, the tissue is …
Deep classification of breast cancer in ultrasound images: more classes, better results with multi-task learning
Ultrasound (US) is a low-cost, portable, and safe tool for breast cancer screening. However,
automatic classification of invasive ductal carcinoma (IDC) in US is a difficult classification …
automatic classification of invasive ductal carcinoma (IDC) in US is a difficult classification …
Multi-Model Deep Learning Framework for Thyroid Cancer Classification Using Ultrasound Imaging
M Rafało, A Żyłka - 2024 - aisel.aisnet.org
This study presents the development and evaluation of a novel, multi-model AI system
designed to train and deliver multiple deep learning models for the classification of focal …
designed to train and deliver multiple deep learning models for the classification of focal …
[PDF][PDF] Deep Learning Methods for Estimation of Elasticity and Backscatter Quantitative Ultrasound
A Kafaei Zad Tehrani - 2023 - spectrum.library.concordia.ca
Ultrasound (US) imaging is increasingly attracting the attention of both academic and
industrial researchers due to being a real-time and nonionizing imaging modality. It is also …
industrial researchers due to being a real-time and nonionizing imaging modality. It is also …
Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
Quantitative ultrasound (QUS) can reveal crucial information on tissue properties such as
scatterer density. If the scatterer density per resolution cell is above or below 10, the tissue is …
scatterer density. If the scatterer density per resolution cell is above or below 10, the tissue is …