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Cysts

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Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination.

BioMed research international
This research aims to address the problem of discriminating benign cysts from malignant masses in breast ultrasound (BUS) images based on Convolutional Neural Networks (CNNs). The biopsy-proven benchmarking dataset was built from 1422 patient cases c...

Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.

IEEE journal of biomedical and health informatics
Optical coherence tomography (OCT) is an imaging modality that is used extensively for ophthalmic diagnosis, near-histological visualization, and quantification of retinal abnormalities such as cysts, exudates, retinal layer disorganization, etc. Int...

Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Intra-retinal cysts (IRCs) are significant in detecting several ocular and retinal pathologies. Segmentation and quantification of IRCs from optical coherence tomography (OCT) scans is a challenging task due to present of speckle noise and scan inten...

[Efficacy of Neoadjuvant Endocrine Therapy for Prostate Ductal Carcinoma with Large Multiple Cysts Prior to Robot-Assisted Laparoscopic Radical Prostatectomy].

Hinyokika kiyo. Acta urologica Japonica
A 71-year-old man with gross hematuria and urinary retention showed a 7×8 cm polycystic mass compressing the prostate on the right ventral side on pelvic magnetic resonance imaging (MRI). The prostate specific antigen (PSA) level was 6.47 ng/ml. Pros...

Transoral robotic narrow field oropharyngectomy for tumours of the parapharyngeal space.

The international journal of medical robotics + computer assisted surgery : MRCAS
The advent of transoral robotic surgery (TORS) has allowed transoral approaches for parapharyngeal space (PPS) tumours to be re-evaluated. It provides enhanced visualisation and instrument access for appropriate tumours. We describe a specific techni...

Assessing the Robustness of Frequency-Domain Ultrasound Beamforming Using Deep Neural Networks.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control
We study training deep neural network (DNN) frequency-domain beamformers using simulated and phantom anechoic cysts and compare to training with simulated point target responses. Using simulation, physical phantom, and in vivo scans, we find that tra...

Deep learning object detection of maxillary cyst-like lesions on panoramic radiographs: preliminary study.

Oral radiology
OBJECTIVES: This study aimed to examine the performance of deep learning object detection technology for detecting and identifying maxillary cyst-like lesions on panoramic radiography.

Expert-level segmentation using deep learning for volumetry of polycystic kidney and liver.

Investigative and clinical urology
PURPOSE: Volumetry is used in polycystic kidney and liver diseases (PKLDs), including autosomal dominant polycystic kidney disease (ADPKD), to assess disease progression and drug efficiency. However, since no rapid and accurate method for volumetry h...

Label-free detection of cysts using a deep learning-enabled portable imaging flow cytometer.

Lab on a chip
We report a field-portable and cost-effective imaging flow cytometer that uses deep learning and holography to accurately detect Giardia lamblia cysts in water samples at a volumetric throughput of 100 mL h-1. This flow cytometer uses lens free color...