Method for fetal ultrasound image classification using pseudo-labelling with PCA-KMeans and an attention-augmented MobileNet-LSTM model

Method for fetal ultrasound image classification using pseudo-labelling with PCA-KMeans and an attention-augmented MobileNet-LSTM model

Accurate classification of fetal ultrasound images is critical for early diagnosis, yet remains challenging due to limited labeled data and high inter-class variability. This study presents a robust deep learning framework that combines a MobileNet backbone with multi-head self-attention and LSTM la...

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Bibliographic Details
Main Authors: Aniket K. Shahade, Priyanka V. Deshmukh, Pritam H. Gohatre, Kanchan S. Tidke, Rohan Ingle
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:MethodsX
Subjects:
Fetal ultrasound
Image classification
Pseudo-labeling
PCA
K-means clustering
MobileNet
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016125004078
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