The training of deep models relies on appropriate regularization from a copious amount of
labeled data. And yet, obtaining a large and well-annotated dataset is costly. Thus …

Fetal cardiac ultrasound is a valuable tool for screening fetal cardiac health during
pregnancy. Ultrasound standard section testing is an essential part of fetal heart ultrasound …

Diabetic retinopathy (DR) is a kind of ocular complication of diabetes, and its degree grade
is an essential basis for early diagnosis of patients. Manual diagnosis is a long and …

Recent studies based on chest X-ray images have shown that pneumonia can be effectively
detected using deep convolutional neural network methods. However, these methods tend …

Accurate classification of thyroid nodules is a critical step in clinical diagnosis and plays a
crucial role in guiding subsequent treatment planning. However, current deep learning …

The technique of thyroid nodule segmentation plays a significant role in diagnosing thyroid
disorders. However, accurate segmentation of thyroid nodules is an extremely challenging …

Background Accurate segmentation of critical anatomical structures in fetal four-chamber
view images is essential for the early detection of congenital heart defects. Current prenatal …

Accurate segmentation of thyroid nodules in ultrasound images is crucial for the diagnosis of
thyroid cancer and preoperative planning. However, the segmentation of thyroid nodules is …

Convolutional neural networks, or CNNs, have shown impressive results for image
classification applications. However, to further enhance their performance, this research …

Purpose This study aims to design an auxiliary segmentation model for thyroid nodules to
increase diagnostic accuracy and efficiency, thereby reducing the workload of medical …