A recent survey of vision transformers for medical image segmentation
Medical image segmentation plays a crucial role in various healthcare applications,
enabling accurate diagnosis, treatment planning, and disease monitoring. Traditionally …
enabling accurate diagnosis, treatment planning, and disease monitoring. Traditionally …
Is attention all you need in medical image analysis? A review.
Medical imaging is a key component in clinical diagnosis, treatment planning and clinical
trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance …
trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance …
Mci-net: multi-scale context integrated network for liver ct image segmentation
Owing to the various object scales and high similarity with the surrounding organs (eg,
kidney, stomach, and spleen), it is difficult to accurately segment the liver region from the …
kidney, stomach, and spleen), it is difficult to accurately segment the liver region from the …
[Retracted] Automatic COVID‐19 Lung Infection Segmentation through Modified Unet Model
S Shamim, MJ Awan, A Mohd Zain… - Journal of healthcare …, 2022 - Wiley Online Library
The coronavirus (COVID‐19) pandemic has had a terrible impact on human lives globally,
with far‐reaching consequences for the health and well‐being of many people around the …
with far‐reaching consequences for the health and well‐being of many people around the …
Deployment of breast cancer hybrid net using deep learning
Breast cancer (BC) occurs when healthy breast cells grow out of control and become tumors.
According to American Cancer Society, breast cancer occurs in one out of eight women and …
According to American Cancer Society, breast cancer occurs in one out of eight women and …
RESNET-50, CNN and HNN medical image registration techniques for covid-19, pneumonia and other chest ailments detection
PG Sathvik, MR Kumar, GH Neeli… - 2022 13th …, 2022 - ieeexplore.ieee.org
Covid illness (COVID-19), with a beginning stage in China. As per report collected on 30 Jun
2022, total cases are 4.35 Cr+ 18,819 also 5.25 L+ 39 cases of deaths across several states …
2022, total cases are 4.35 Cr+ 18,819 also 5.25 L+ 39 cases of deaths across several states …
Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection
More than two years after its outbreak, the COVID-19 pandemic continues to plague medical
systems around the world, putting a strain on scarce resources, and claiming human lives …
systems around the world, putting a strain on scarce resources, and claiming human lives …
[HTML][HTML] Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of …
C Vásquez-Venegas, CG Sotomayor, B Ramos… - Journal of clinical …, 2024 - mdpi.com
Background/Objectives: The accurate quantification of ground-glass opacities (GGOs) and
consolidation volumes has prognostic value in COVID-19 patients. Nevertheless, the …
consolidation volumes has prognostic value in COVID-19 patients. Nevertheless, the …
AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels
X Chen, H Xu, Q Qi, C Sun, J **, H Zhao… - Frontiers in …, 2022 - frontiersin.org
Background The recognition of anatomical variants is essential in preoperative planning for
lung cancer surgery. Although three-dimensional (3-D) reconstruction provided an intuitive …
lung cancer surgery. Although three-dimensional (3-D) reconstruction provided an intuitive …
Advances in medical image analysis: A comprehensive survey of lung infection detection
S Kordnoori, M Sabeti, H Mostafaei… - IET Image …, 2024 - Wiley Online Library
This research investigates advanced approaches in medical image analysis, specifically
focusing on segmentation and classification techniques, as well as their integration into multi …
focusing on segmentation and classification techniques, as well as their integration into multi …