Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Novel AI Tool Accurately Detects and Characterized Microcalcifications on Mammography

By MedImaging International staff writers
Posted on 01 Jan 2024
Image: AI modeling detects and classifies breast microcalcifications (Photo courtesy of 123RF)
Image: AI modeling detects and classifies breast microcalcifications (Photo courtesy of 123RF)

Breast cancer screening through mammography is crucial for early detection, yet the demand for mammography services surpasses the capacity of radiologists. Artificial intelligence (AI) can assist in evaluating microcalcifications in mammography scans. A team of researchers has now developed and tested an AI model that can accurately detect and characterize microcalcifications in mammography scans.

In the research conducted at IEO European Institute of Oncology IRCCS (Milan, Italy), three expert radiologists annotated a dataset of 1,000 patients and 1,986 mammograms using histology-based ground truth. The dataset was partitioned for training, validation, and testing. Of the total, 389 groups of microcalcifications were deemed malignant while 611 were benign. The team then trained and evaluated three neural networks (AlexNet, ResNet18, and ResNet34) using specific metrics including receiver operating characteristics area under the curve (AUC), sensitivity, and specificity.

The team evaluated the neural networks in their ability to detect and classify microcalcifications and found that AlexNet delivered the best overall performance among the three neural networks. The researchers also found that AlexNet had a negative predictive value of the three networks in detection (0.94) and classification (0.88). The study highlights the importance of developing reliable deep-learning models possibly be applied to breast cancer screening. Based on their findings, the research team has suggested that these models offer the potential to improve the work of breast radiologists, particularly in breast cancer screening programs.

Related Links:
IEO IRCCS 

Portable X-ray Unit
AJEX140H
New
Silver Member
X-Ray QA Device
Accu-Gold+ Touch Pro
Mammography System (Analog)
MAM VENUS
Pocket Fetal Doppler
CONTEC10C/CL

Channels

Nuclear Medicine

view channel
Image: Perovskite crystal boules are grown in carefully controlled conditions from the melt (Photo courtesy of Mercouri Kanatzidis/Northwestern University)

New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis

Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more

General/Advanced Imaging

view channel
Image: The Angio-CT solution integrates the latest advances in interventional imaging (Photo courtesy of Canon Medical)

Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities

Maintaining accuracy and safety in interventional radiology is a constant challenge, especially as complex procedures require both high precision and efficiency. Traditional setups often involve multiple... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.