Machine learning empowering personalized medicine: A comprehensive review of medical image analysis methods
Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …
improved medical image processing and analysis in various tasks such as disease …
A review of the application of three-dimensional convolutional neural networks for the diagnosis of Alzheimer's disease using neuroimaging
X Xu, L Lin, S Sun, S Wu - Reviews in the Neurosciences, 2023 - degruyter.com
Alzheimer's disease (AD) is a degenerative disorder that leads to progressive, irreversible
cognitive decline. To obtain an accurate and timely diagnosis and detect AD at an early …
cognitive decline. To obtain an accurate and timely diagnosis and detect AD at an early …
A data augmentation pipeline to generate synthetic labeled datasets of 3D echocardiography images using a GAN
Due to privacy issues and limited amount of publicly available labeled datasets in the
domain of medical imaging, we propose an image generation pipeline to synthesize 3D …
domain of medical imaging, we propose an image generation pipeline to synthesize 3D …
A domain translation framework with an adversarial denoising diffusion model to generate synthetic datasets of echocardiography images
Currently, medical image domain translation operations show a high demand from
researchers and clinicians. Amongst other capabilities, this task allows the generation of …
researchers and clinicians. Amongst other capabilities, this task allows the generation of …
UCM-Net: A lightweight and efficient solution for skin lesion segmentation using MLP and CNN
Skin cancer presents a formidable public health challenge, with its incidence expected to
rise significantly in the coming decades. Early diagnosis is vital for effective treatment …
rise significantly in the coming decades. Early diagnosis is vital for effective treatment …
A Comprehensive Survey of Multi-Level Thresholding Segmentation Methods for Image Processing
M Amiriebrahimabadi, Z Rouhi, N Mansouri - Archives of Computational …, 2024 - Springer
In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …
regions of interest in images by identifying intensity levels that differentiate different …
A foundation model utilizing chest CT volumes and radiology reports for supervised-level zero-shot detection of abnormalities
A major challenge in computational research in 3D medical imaging is the lack of
comprehensive datasets. Addressing this issue, our study introduces CT-RATE, the first 3D …
comprehensive datasets. Addressing this issue, our study introduces CT-RATE, the first 3D …
From cnn to transformer: A review of medical image segmentation models
W Yao, J Bai, W Liao, Y Chen, M Liu, Y Xie - Journal of Imaging Informatics …, 2024 - Springer
Medical image segmentation is an important step in medical image analysis, especially as a
crucial prerequisite for efficient disease diagnosis and treatment. The use of deep learning …
crucial prerequisite for efficient disease diagnosis and treatment. The use of deep learning …
Assessing the Performance of Deep Learning Models for Colon Polyp Classification using Computed Tomography Scans
K Hicham, S Laghmati, S Hamida… - … Research in Applied …, 2023 - ieeexplore.ieee.org
the diagnosis of Colorectal and Rectum Cancer (CRC) is a global concern as it is the third
most commonly diagnosed cancer. Early detection and treatment of polyps can prevent the …
most commonly diagnosed cancer. Early detection and treatment of polyps can prevent the …
Kidney Tumor Classification on CT images using Self-supervised Learning
E Özbay, FA Özbay, FS Gharehchopogh - Computers in Biology and …, 2024 - Elsevier
One of the most common diseases affecting society around the world is kidney tumor. The
risk of kidney disease increases due to reasons such as consumption of ready-made food …
risk of kidney disease increases due to reasons such as consumption of ready-made food …