AIMC Topic: Ultrasonography, Mammary

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Semiautomated segmentation of breast tumor on automatic breast ultrasound image using a large-scale model with customized modules.

Scientific reports May 19, 2025
To verify the capability of the Segment Anything Model for medical images in 3D (SAM-Med3D), tailored with low-rank adaptation (LoRA) strategies, in segmenting breast tumors in Automated Breast Ultrasound (ABUS) images. This retrospective study colle...
Image Processing, Computer-Assisted Ultrasonography, Mammary Image Interpretation, Computer-Assisted Breast Neoplasms Middle Aged Humans Imaging, Three-Dimensional Algorithms Retrospective Studies Female Aged Adult
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Variational mode directed deep learning framework for breast lesion classification using ultrasound imaging.

Scientific reports Apr 24, 2025
Breast cancer is the most prevalent cancer and the second cause of cancer related death among women in the United States. Accurate and early detection of breast cancer can reduce the number of mortalities. Recent works explore deep learning technique...
Image Interpretation, Computer-Assisted Female Breast Neoplasms Deep Learning Ultrasonography Image Processing, Computer-Assisted Ultrasonography, Mammary Breast Humans Neural Networks, Computer Algorithms
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EfficientNet-Based Attention Residual U-Net With Guided Loss for Breast Tumor Segmentation in Ultrasound Images.

Ultrasound in medicine & biology Apr 22, 2025
OBJECTIVE: Breast cancer poses a major health concern for women globally. Effective segmentation of breast tumors for ultrasound images is crucial for early diagnosis and treatment. Conventional convolutional neural networks have shown promising resu...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Ultrasonography, Mammary Female Breast Breast Neoplasms Image Interpretation, Computer-Assisted Convolutional Neural Networks
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Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound Integration.

Technology in cancer research & treatment Apr 17, 2025
IntroductionThe study aims to evaluate the performance of an interpretable machine learning model in predicting preoperative axillary lymph node metastasis using primary breast cancer and lymph node features derived from contrast-enhanced mammography...
Middle Aged Mammography Ultrasonography Ultrasonography, Mammary Humans Female ROC Curve Lymph Nodes Machine Learning Aged Lymphatic Metastasis Retrospective Studies Adult Contrast Media Breast Neoplasms Axilla
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Using artificial intelligence system for assisting the classification of breast ultrasound glandular tissue components in dense breast tissue.

Scientific reports Apr 6, 2025
To investigate the potential of employing artificial intelligence (AI) -driven breast ultrasound analysis models for the classification of glandular tissue components (GTC) in dense breast tissue. A total of 1,848 healthy women with mammograms classi...
Artificial Intelligence Prospective Studies Female Aged Humans Neural Networks, Computer Deep Learning Mammography Ultrasonography, Mammary Breast Adult Breast Neoplasms Middle Aged Breast Density
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FET-UNet: Merging CNN and transformer architectures for superior breast ultrasound image segmentation.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Apr 3, 2025
PURPOSE: Breast cancer remains a significant cause of mortality among women globally, highlighting the critical need for accurate diagnosis. Although Convolutional Neural Networks (CNNs) have shown effectiveness in segmenting breast ultrasound images...
Breast Female Breast Neoplasms Image Processing, Computer-Assisted Ultrasonography, Mammary Humans Neural Networks, Computer
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Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer.

Scientific reports Mar 25, 2025
Applying deep learning algorithms to mine ultrasound features of breast cancer and construct a machine learning model that accurately predicts Ki-67 expression level. This multi-center retrospective study analyzed clinical and ultrasound data from 92...
Humans Algorithms Retrospective Studies Female Ultrasonography, Mammary Middle Aged Aged Ki-67 Antigen Deep Learning Adult Ultrasonography Breast Neoplasms Support Vector Machine
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Flip Learning: Weakly supervised erase to segment nodules in breast ultrasound.

Medical image analysis Mar 21, 2025
Accurate segmentation of nodules in both 2D breast ultrasound (BUS) and 3D automated breast ultrasound (ABUS) is crucial for clinical diagnosis and treatment planning. Therefore, developing an automated system for nodule segmentation can enhance user...
Ultrasonography, Mammary Supervised Machine Learning Image Interpretation, Computer-Assisted Algorithms Female Breast Neoplasms Imaging, Three-Dimensional Humans
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Syn-Net: A Synchronous Frequency-Perception Fusion Network for Breast Tumor Segmentation in Ultrasound Images.

IEEE journal of biomedical and health informatics Mar 6, 2025
Accurate breast tumor segmentation in ultrasound images is a crucial step in medical diagnosis and locating the tumor region. However, segmentation faces numerous challenges due to the complexity of ultrasound images, similar intensity distributions,...
Image Interpretation, Computer-Assisted Deep Learning Ultrasonography, Mammary Humans Breast Neural Networks, Computer Algorithms Female Breast Neoplasms
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Predicting the efficacy of neoadjuvant chemotherapy in breast cancer patients based on ultrasound longitudinal temporal depth network fusion model.

Breast cancer research : BCR Feb 27, 2025
OBJECTIVE: The aim of this study was to develop and validate a deep learning radiomics (DLR) model based on longitudinal ultrasound data and clinical features to predict pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in breas...
Prognosis Female Ultrasonography, Mammary Aged Ultrasonography Chemotherapy, Adjuvant Breast Neoplasms Adult Antineoplastic Combined Chemotherapy Protocols Middle Aged Treatment Outcome Humans Deep Learning Neoadjuvant Therapy
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