Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions
With the advent of the Internet of Things (IoT), artificial intelligence (AI), machine learning
(ML), and deep learning (DL) algorithms, the landscape of data-driven medical applications …
(ML), and deep learning (DL) algorithms, the landscape of data-driven medical applications …
Segment anything in medical images
Medical image segmentation is a critical component in clinical practice, facilitating accurate
diagnosis, treatment planning, and disease monitoring. However, existing methods, often …
diagnosis, treatment planning, and disease monitoring. However, existing methods, often …
A survey on deep learning for polyp segmentation: Techniques, challenges and future trends
Early detection and assessment of polyps play a crucial role in the prevention and treatment
of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist …
of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist …
Video polyp segmentation: A deep learning perspective
We present the first comprehensive video polyp segmentation (VPS) study in the deep
learning era. Over the years, developments in VPS are not moving forward with ease due to …
learning era. Over the years, developments in VPS are not moving forward with ease due to …
MSRF-Net: a multi-scale residual fusion network for biomedical image segmentation
Methods based on convolutional neural networks have improved the performance of
biomedical image segmentation. However, most of these methods cannot efficiently …
biomedical image segmentation. However, most of these methods cannot efficiently …
Attention-guided pyramid context network for polyp segmentation in colonoscopy images
Recently, deep convolutional neural networks (CNNs) have provided us an effective tool for
automated polyp segmentation in colonoscopy images. However, most CNN-based …
automated polyp segmentation in colonoscopy images. However, most CNN-based …
Detection of autism spectrum disorder (ASD) in children and adults using machine learning
Autism spectrum disorder (ASD) presents a neurological and developmental disorder that
has an impact on the social and cognitive skills of children causing repetitive behaviours …
has an impact on the social and cognitive skills of children causing repetitive behaviours …
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in
their size, appearance, and location makes the detection of polyps challenging. Moreover …
their size, appearance, and location makes the detection of polyps challenging. Moreover …
Federated learning for healthcare applications
Due to the fast advancement of artificial intelligence (AI), centralized-based models have
become critical for healthcare tasks like in medical image analysis and human behavior …
become critical for healthcare tasks like in medical image analysis and human behavior …
Boundary uncertainty aware network for automated polyp segmentation
Recently, leveraging deep neural networks for automated colorectal polyp segmentation has
emerged as a hot topic due to the favored advantages in evading the limitations of visual …
emerged as a hot topic due to the favored advantages in evading the limitations of visual …