AIMC Topic: Femur Head

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Applying deep learning to quantify empty lacunae in histologic sections of osteonecrosis of the femoral head.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Osteonecrosis of the femoral head (ONFH) is a disease in which inadequate blood supply to the subchondral bone causes the death of cells in the bone marrow. Decalcified histology and assessment of the percentage of empty lacunae are used to quantify ...

Deep learning for diagnosing osteonecrosis of the femoral head based on magnetic resonance imaging.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Early-stage osteonecrosis of the femoral head (ONFH) can be difficult to detect because of a lack of symptoms. Magnetic resonance imaging (MRI) is sufficiently sensitive to detect ONFH; however, the diagnosis of ONFH require...

Deep Learning-Based End-to-End Diagnosis System for Avascular Necrosis of Femoral Head.

IEEE journal of biomedical and health informatics
As the first diagnostic imaging modality of avascular necrosis of the femoral head (AVNFH), accurately staging AVNFH from a plain radiograph is critical yet challenging for orthopedists. Thus, we propose a deep learning-based AVNFH diagnosis system (...

Semantic segmentation of the multiform proximal femur and femoral head bones with the deep convolutional neural networks in low quality MRI sections acquired in different MRI protocols.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Medical image segmentation is one of the most crucial issues in medical image processing and analysis. In general, segmentation of the various structures in medical images is performed for the further image analyzes such as quantification, assessment...

Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning.

International journal of radiation oncology, biology, physics
PURPOSE: Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) for magnetic resonance imaging (MRI) based dose planning. This study aims to evaluate and compare DLMs (U-Net and generative adversarial network [GAN]) usin...

Comparing discriminant analysis and neural network for the determination of sex using femur head measurements.

Forensic science international
The measurement of the femoral head is usually considered an interesting variable for the sex determination of skeletal remains. To date, there are few published reference measurements of the femoral head in a modern European population for the purpo...

Quantification of Empty Lacunae in Tissue Sections of Osteonecrosis of the Femoral Head Using YOLOv8 Artificial Intelligence Model.

Journal of biomedical materials research. Part B, Applied biomaterials
Histomorphometry is an important technique in the evaluation of non-traumatic osteonecrosis of the femoral head (ONFH). Quantification of empty lacunae and pyknotic cells on histological images is the most reliable measure of ONFH pathology, yet it i...

[Case-control study on robot-assisted core decompression and conventional core decompression for early necrosis of femoral head].

Zhongguo gu shang = China journal of orthopaedics and traumatology
OBJECTIVE: To compare clinical effect of robot-assisted core decompression and conventional core decompression in treating ARCO Ⅰ stage necrosis of femoral head.

Efficacy of robot-assisted core decompression combined with human umbilical cord-derived mesenchymal stem cell transplantation for osteonecrosis of the femoral head.

European review for medical and pharmacological sciences
OBJECTIVE: The aim of this paper was to evaluate the effects of robot-assisted core decompression combined with human umbilical cord-derived mesenchymal stem cell (hUC-MSC) transplantation for early-stage osteonecrosis of the femoral head (ONFH).