Computer-aided-diagnosis systems have led to transformative advancements to breast
ultrasound interpretations, surmounting the challenges of manual assessments. Various …

Automatic classification of ultrasound breast tumors has been pragmatically alleviating
several defects raised in manual diagnosis and utilized as a second opinion to help …

Deep learning-based automatic classification of breast tumors using parametric imaging
techniques from ultrasound (US) B-mode images is still an exciting research area. The …

This study introduces a novel approach to improve breast tumor classification by integrating
advanced image processing techniques and a state-of-the-art Vision Transformer (ViT) …

The progress of computer-aid-diagnosis system for ultrasound breast lesions reaches
tremendous success in the past few years. However, conventional deep learning-based …

This research aimed to develop an effective method for classifying breast tumors using a
combination of contourlet transformation, parametric imaging, and vision transformer …

The successful treatment of skin cancer and better patient outcomes depend on an early and
precise diagnosis. This work offers a multiresolution assessment of the contourlet transform …