An extended focused assessment with sonography in trauma ultrasound tissue-mimicking phantom for developing automated diagnostic technologies

SI Hernandez-Torres, C Bedolla, D Berard… - … in Bioengineering and …, 2023 - frontiersin.org
Introduction: Medical imaging-based triage is critical for ensuring medical treatment is timely
and prioritized. However, without proper image collection and interpretation, triage decisions …

Performance Comparison of Object Detection Networks for Shrapnel Identification in Ultrasound Images

SI Hernandez-Torres, RP Hennessey, EJ Snider - Bioengineering, 2023 - mdpi.com
Ultrasound imaging is a critical tool for triaging and diagnosing subjects but only if images
can be properly interpreted. Unfortunately, in remote or military medicine situations, the …

Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study

S Yang, S Guo, J Zhao, F Shen - Pattern Recognition, 2024 - Elsevier
Data augmentation has emerged as a widely adopted technique for improving the
generalization capabilities of deep neural networks. However, evaluating the effectiveness …

Texture analysis for the bone age assessment from MRI images of adolescent wrists in boys

R Obuchowicz, K Nurzynska, M Pierzchala… - Journal of Clinical …, 2023 - mdpi.com
Currently, bone age is assessed by X-rays. It enables the evaluation of the child's
development and is an important diagnostic factor. However, it is not sufficient to diagnose a …

UltraAugment: Fan-shape and Artifact-based Data Augmentation for 2D Ultrasound Images

F Ramakers, T Vercauteren… - Proceedings of the …, 2024 - openaccess.thecvf.com
Deep learning systems for medical image analysis have shown remarkable performance.
However performance is heavily dependent on the size and diversity of the training data as …

Deep Learning Analysis With Gray Scale and Doppler Ultrasonography Images to Differentiate Graves' Disease

HS Baek, J Kim, C Jeong, J Lee, J Ha… - The Journal of …, 2024 - academic.oup.com
Context Thyrotoxicosis requires accurate and expeditious differentiation between Graves'
disease (GD) and thyroiditis to ensure effective treatment decisions. Objective This study …

PheoSeg: A 3D transfer learning framework for accurate abdominal CT pheochromocytoma segmentation and surgical grade prediction

D Wang, J Zeng, G Huang, D Xu, X Jia, C Qin… - Knowledge-Based …, 2024 - Elsevier
Pheochromocytoma is a rare urological disease. Accurate segmentation of
pheochromocytoma and its surrounding abdominal organs is crucial for surgical planning …

Comprehensive Mixed-Based Data Augmentation For Detection of Rice Leaf Disease in The Wild

ALA Haikal, N Yudistira, A Ridok - Crop Protection, 2024 - Elsevier
Rice (Oryza sativa L.) is one type of cultivated plant that has the ability to adapt to various
conditions and is a main ingredient of food in many countries, especially in Asia, including …

Automated Segmentation of Optical Coherence Tomography Images of the Human Tympanic Membrane Using Deep Learning

TP Oghalai, R Long, W Kim, BE Applegate, JS Oghalai - Algorithms, 2023 - mdpi.com
Optical Coherence Tomography (OCT) is a light-based imaging modality that is used widely
in the diagnosis and management of eye disease, and it is starting to become used to …

Customized VGG16: Enhancing Breast Cancer Diagnosis Through Deep Learning Techniques

RK Gouda, D Muduli, S Das, SP Sahu… - 2024 15th …, 2024 - ieeexplore.ieee.org
Breast cancer is a major worldwide health concern, which emphasizes the necessity for
accurate and effective diagnostic instruments. Using deep learning techniques, this study …