Automatic fetal body and amniotic fluid segmentation from fetal ultrasound images by encoder-decoder network with inner layers

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Segmentation of the metacarpus and phalange in musculoskeletal ultrasound images using local active contours

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Deep Learning in Medical Ultrasound Analysis: A Review

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A review on deep-learning algorithms for fetal ultrasound-image analysis

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Machine Learning in Fetal Cardiology: What to Expect

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Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects

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Artificial intelligence in obstetric ultrasound: A scoping review.

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Automated 3D Fetal Brain Segmentation Using an Optimized Deep Learning Approach

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Applications of artificial intelligence in obstetrics

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Model-Agnostic Method for Thoracic Wall Segmentation in Fetal Ultrasound Videos

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Toward deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via ultrasound images

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Fetal biometry and amniotic fluid volume assessment end-to-end automation using Deep Learning

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LCP-Net: A local context-perception deep neural network for medical image segmentation

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Convolutional Neural Network to Detect and Measure Fetal Skull Circumference in Ultrasound Imaging

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Artificial Intelligence in Obstetrics and Gynecology: Transforming Care and Outcomes

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Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks

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Amniotic Fluid Classification and Artificial Intelligence: Challenges and Opportunities

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Breast Tumor Ultrasound Image Segmentation Method Based on Improved Residual U-Net Network

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Automatic Segmentation of the Fetus in 3D Magnetic Resonance Images Using Deep Learning: Accurate and Fast Fetal Volume Quantification for Clinical Use

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Fetal ultrasound image segmentation using dilated multi-scale-LinkNet

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Amniotic fluid segmentation based on pixel classification using local window information and distance angle pixel

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Pixel Classification Based on Local Gray Level Rectangle Window Sampling for Amniotic Fluid Segmentation

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Deep Learning-Based Computer-Aided Classification of Amniotic Fluid Using Ultrasound Images from Saudi Arabia

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AFNet Algorithm for Automatic Amniotic Fluid Segmentation from Fetal MRI

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Heart Position Estimation based on Bone Distribution toward Autonomous Robotic Fetal Ultrasonography

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Amniotic Fluids Classification Using Combination of Rules-Based and Random Forest Algorithm

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Classification of Amniotic Fluid Level Using Bi-LSTM with Homomorphic filter and Contrast Enhancement Techniques

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U-Net-Driven Advancements in Breast Cancer Detection and Segmentation

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FetalMLOps: operationalizing machine learning models for standard fetal ultrasound plane classification

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Comparative Study of Principle and Independent Component Analysis of CNN for Embryo Stage and Fertility Classification

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An Introduction to Deep Learning Techniques in Ultrasound Image Modality

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Review on Ultrasound-Image Analysis of Fetus Using Deep Learning

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Fetal Organ Anomaly Identification, Segmentation, and Optimized Data Augmentation

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DEEP LEARNING BASED MODEL FOR AMNIOTIC FLUID SEGMENTATION IN 2D FETAL ULTRASOUND IMAGES

Mahmoud, R., & Belgacem, T. R. A. S. (2023) · doi:10.33965/icwi_ac_2023_202307l007

U-Net with SSM-Inspired Gated Large-Receptive-Field Refinement for Fetal Abdomen Segmentation and Circumference Measurement Using Ultrasound Images

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ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images

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Automatic segmentation in fetal ultrasound images based on improved U-net

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Ultrasonography Uterus and Fetus Segmentation with Constrained Spatial-Temporal Memory FCN

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