Ultrasonic imaging

01 18 October 2026

DOI 10.1177/01617346261488317

MTL-LymphNet: A Lightweight Multi-Task Learning Framework for Simultaneous Lymph Node Segmentation and Metastasis Classification in Thyroid Cancer Ultrasound

Open DOI

Muhammad Thahiruddin, Imam Wahyudi, Alfie Nuril Mustofa

Ultrasound assessment of cervical lymph node metastasis in papillary thyroid carcinoma is crucial but suffers from inter-observer variability. Existing deep learning solutions typically use separate single-task pipelines, resulting in pa...

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02 28 September 2026

DOI 10.1177/01617346261483586

Ultrasound-Based Breast Cancer Diagnosis Using Scale-Aware Modulation Meet Deep Dilated Convolutional Network With Weighted-Leader Search Optimization

Open DOI

Bharathi V., Krishna Prakash Arunachalam, Deepak V. et al.

Breast cancer (BC) is another leading cause of death for women, after lung cancer. The number of women who pass away from BC can be decreased with early detection. An automated method is necessary for early cancer identification because ...

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03 19 September 2026

DOI 10.1177/01617346261478286

Quantum-inspired Levenberg–Marquardt Network for Ovarian Cyst Identification Using Ultrasound Image

Open DOI

C.A. Daphine Desona Clemency, Joshila Grace L K

Ovarian cyst identification is a critical task in gynecological diagnostics, aiming to distinguish between benign and malignant cysts for timely and appropriate treatment. Conventional models often use hand-engineered features, but this ...

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04 24 August 2026

DOI 10.1177/01617346261478257

Structure-Aware Deep Learning for Pediatric Echocardiographic Standard-View Classification in Ultrasonic Imaging

Open DOI

Yanfeng Liu, Haibin Sun, Haisong Huang et al.

Accurate standard-view classification is essential for pediatric echocardiographic image analysis and downstream automated interpretation. This task remains challenging because discriminative view information is often encoded in subtle c...

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05 19 August 2026

DOI 10.1177/01617346261476280

Evaluating Kolmogorov-Arnold Network Implementations for Medical Ultrasound Image Classification: A Trade-off Analysis of Computational Cost, Interpretability, and Diagnostic Safety

Open DOI

Saim Ervural

To compare pykan and Lightweight KAN with MLP and Linear classifier heads for focal liver lesion classification on B-mode ultrasound, with emphasis on diagnostic sensitivity, interpretability and computational cost. A frozen ResNet18 fea...

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06 18 August 2026

DOI 10.1177/01617346261467356

SFENet: A Spatial–Frequency Dual-Branch Image Quality Enhancement Network for Breast Ultrasound Tumor Segmentation

Open DOI

Mengxiang Sun, Xiaohong Wang, Chengwei Shen

Breast ultrasound (BUS) images are commonly degraded by speckle noise, intensity inhomogeneity, acoustic shadowing, and low contrast, while breast tumors often exhibit irregular morphology, heterogeneous echogenicity, and blurred boundar...

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07 10 August 2026

DOI 10.1177/01617346261473897

Ultrasound B-Scan to Thru-Scan Reconstructions of Scatterers via Power Law Constraints

Open DOI

Joaquin Sanchez, Stefano E. Romero, Kevin J. Parker

This work presents the first application of the Thru-scan framework to a range of ultrasound images across frequency bands, from 3 MHz human abdominal scans to high frequency preclinical scans. The Thru-scan is a constrained reconstructi...

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08 20 July 2026

DOI 10.1177/01617346261467350

Real-Time Reverberation Suppression in Ultrasound Channel Signals Using a Permuted 2D Convolutional Neural Network

Open DOI

Leandra L. Brickson, Dongwoon Hyun, Hoda S. Hashemi et al.

Diffuse reverberation noise in ultrasound imaging arises from multiple reflections or secondary scattering of an echo, such as when a strong echo reflects multiple times between a fascial layer and the transducer. Unlike coherent reverbe...

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09 6 July 2026

DOI 10.1177/01617346261463796

LKCAU-Net: A Large Kernel Coordinated Attention U-Net for Breast Tumors Segmentation in Ultrasound Images

Open DOI

Lai Jiang, YuXin Zheng, Aibin Huang

Breast cancer remains a significant health concern for women worldwide. Ultrasound imaging is widely adopted for screening due to its non-invasive and radiation-free nature. However, challenges such as low image contrast, blurred tumor b...

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10 23 June 2026

DOI 10.1177/01617346261450223

A Multi-Task Segmentation and Classification Network Based on Ultrasound Images for Predicting the Grading of Ascites in the Abdominal Cavity

Open DOI

Feng Xie, Le Tao, Hejing Huang et al.

Abdominal trauma with bleeding is a leading cause of post-traumatic death, and detecting free fluid in the abdomen or hemoperitoneum can provide critical guidance for clinical management. Rapid and accurate diagnosis of abdominal bleedin...

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