Motivated by the rapid and current progress to develop intelligent image-guided intervention
tools, we aim in this paper to present, a recent review of a specific family of deep learning …

In addition to being a crucial part of ecosystem health, wildfires also pose a grave threat to
human lives and the environment. Early detection remains challenging, especially in remote …

This study introduces a sophisticated neural network structure for segmenting breast tumors.
It achieves this by combining a pretrained Vision Transformer (ViT) model with a UNet …

Correction: Multi-task approach based on combined CNN-transformer for efficient segmentation
and classification of breast tumors in ultrasound images | Visual Computing for Industry …

In this study, the challenges posed by limited annotated medical data in the field of eye
movement AI analysis are addressed through the introduction of a novel physiologically …

Stomatology extensively utilizes detailed imaging to assist clinicians, traditionally requiring
labor-intensive manual analysis, which significantly adds to their workload. Transformers are …

This paper introduces a novel approach for training Mask-RCNN models using a normalized
continuous objectness score and corresponding loss function, eliminating the need for …

Motivated by the rapid and current progress to develop intelligent image-guided intervention
tools, we aim in this paper to present, a recent review of a specific family of deep learning …