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[HTML][HTML] Gan-based data augmentation to improve breast ultrasound and mammography mass classification
Data imbalance is a common problem in breast cancer diagnosis, to address this challenge,
the research explores the use of Generative Adversarial Networks (GANs) to generate …
the research explores the use of Generative Adversarial Networks (GANs) to generate …
[PDF][PDF] The evolving landscape: Role of artificial intelligence in cancer detection
The evolving landscape: Role of artificial intelligence in cancer detection Page 1 AIMS
Bioengineering, 11(2): 147–172. DOI: 10.3934/bioeng.2024009 Received: 07 January …
Bioengineering, 11(2): 147–172. DOI: 10.3934/bioeng.2024009 Received: 07 January …
[HTML][HTML] Deep Learning-Based Glioma Segmentation of 2D Intraoperative Ultrasound Images: A Multicenter Study Using the Brain Tumor Intraoperative Ultrasound …
Background: Intraoperative ultrasound (ioUS) provides real-time imaging during
neurosurgical procedures, with advantages such as portability and cost-effectiveness …
neurosurgical procedures, with advantages such as portability and cost-effectiveness …
[HTML][HTML] Automatic Measurement of Frontomaxillary Facial Angle in Fetal Ultrasound Images Using Deep Learning
Accurate measurement of frontomaxillary facial (FMF) angles in prenatal ultrasound (US)
scans plays a pivotal role in the screening of trisomy 21. Nevertheless, this intricate …
scans plays a pivotal role in the screening of trisomy 21. Nevertheless, this intricate …
[HTML][HTML] Advancing Breast Cancer Detection in Ultrasound Images Using a Novel Hybrid Ensemble Deep Learning Model
Breast cancer remains a leading cause of mortality among women globally, emphasizing the
critical need for prompt and accurate detection to improve patient outcomes. This study …
critical need for prompt and accurate detection to improve patient outcomes. This study …
Ultrasound breast cancer image classification with GAN-based synthetic data augmentation
Ultrasound images are used in various branches of medicine to detect diseases. The
process of obtaining this data is complex due to procedures and legal restrictions, leading to …
process of obtaining this data is complex due to procedures and legal restrictions, leading to …
Enhancing Grayscale Image Synthesis with Deep Conditional GAN and Transfer Learning
M Ryspayeva, A Nishan - 2024 IEEE AITU: Digital Generation, 2024 - ieeexplore.ieee.org
This study explores using advanced Generative Adversarial Networks (GAN) to create
realistic breast ultrasound images. Combining Deep Convolutional GAN with a Wasserstein …
realistic breast ultrasound images. Combining Deep Convolutional GAN with a Wasserstein …
[PDF][PDF] Data Augmentation of Breast Ultrasound Images Using Wasserstein Generative Adversarial Networks
IGSM Diyasa, S Humairah, EY Puspaningrum… - 2024 - preprints.org
Breast cancer is among the most prevalent cancers in Indonesia. One of the methods for
early detection of breast cancer is utilizing ultrasound images to classify breast conditions …
early detection of breast cancer is utilizing ultrasound images to classify breast conditions …
Breast Tumor Image Synthesis based on Diffusion Probabilistic Model
Ultrasonography plays a crucial role in the early detection of breast cancer due to its real-
time, safe, and cost-effective nature. However, the accuracy of ultrasound-based breast …
time, safe, and cost-effective nature. However, the accuracy of ultrasound-based breast …
[PDF][PDF] Deep Learning-Enhanced Ultrasound Analysis: Classifying Breast Tumors using Segmentation and Feature Extraction
Background Breast cancer remains a signi cant global health challenge, demanding
accurate and effective diagnostic methods for timely treatment. Ultrasound imaging stands …
accurate and effective diagnostic methods for timely treatment. Ultrasound imaging stands …