Breast cancer is considered one of the significant health challenges and ranks among the most prevalent and dangerous cancer types affecting women globally. Early breast cancer detection and diagnosis are crucial for effective treatment and personalized
To understand the dynamics that limit use of risk-management options by women at high risk of breast cancer, there is a critical need for research that focuses on patient perspectives. Prior research has left important gaps: exclusion of high-risk women
She underwent a diagnostic mammogram which showed heterogenous fibroglandular density with a large mass and multiple smaller high-density lesions in the right upper quadrant. No microcalcifications were seen (Figure 3A). Complementary ultrasound revealed a large thick-walled lobulated cystic mass measuring...
) In 2015, a mammogram picked up another abnormality which turned out to be cancer. This time, I would need a mastectomy. My goal for that year was to run a marathon in my 40th state. Though I had to adjust my plan and take some...
diagnoses, for example, false-negative results of mammogram, undetectability of breast calcifications with ultrasound, unclear image caused by movement during MRI scanning, infection of blood testing, and cancer missing in fine needle aspiration biopsy if the needle is not placed among the cancer ...
4.2. Benefits and challenges of multi-modality Several works have highlighted the benefits of adopting a multimodal framework in healthcare. A clinical study on breast cancer diagnosis highlighted the real-world potential of multi-modality integration [67]. By combining mammogram images and MRI scans...
The objective of this research was to create a deep learning network that utilizes multiscale images for the classification of follicular thyroid carcinoma (FTC) and follicular thyroid adenoma (FTA) through preoperative US. This retrospective study invol
Deep learning (DL) models are becoming pervasive and applicable to computer vision, image processing, and synthesis problems. The performance of these models is often improved through architectural configuration, tweaks, the use of enormous training data
Thus, surgical guidance tools that can accurately locate the tumor and optimize the resection of adequate margins in real time are needed. Mammogram and magnetic resonance imaging are used to diagnose and localize the breast tumor mass, but these technologies are bulky in size and not accessible ...
The rest of this paper is organized as follows. Section 2 covers the background knowledge and the most com- mon notations used in the following sections. In Sect. 3, we describe the protocol for the literature selection. In Sect. 4, the results obtained are analyzed and compared. ...