AIMC Topic: Fibroma

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Application of convolutional neural network for differentiating ovarian thecoma-fibroma and solid ovarian cancer based on MRI.

Acta radiologica (Stockholm, Sweden : 1987)
BACKGROUND: Ovarian thecoma-fibroma and solid ovarian cancer have similar clinical and imaging features, and it is difficult for radiologists to differentiate them. Since the treatment and prognosis of them are different, accurate characterization is...

Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning.

Asian Pacific journal of cancer prevention : APJCP
OBJECTIVE: Early detection and precise diagnosis of breast cancer (BC) plays an essential part in enhancing the diagnosis and improving the breast cancer survival rate of patients from 30 to 50%. Through the advances of technology in healthcare, deep...

Totally endoscopic non-robotic excision of aortic valve fibroelastoma: a case report.

Journal of cardiothoracic surgery
BACKGROUND: Papillary fibroelastomas (PFEs) are a rare subtype of benign primary cardiac tumours, which are most commonly found on the aortic valve. Although median sternotomy is still used frequently there has been different attempts to remove the a...

Robotic Excision of a Papillary Fibroelastoma of the Mitral Chordae.

The Annals of thoracic surgery
Papillary fibroelastomas of the mitral chordae tendineae are rare, primary benign tumors. They are either incidentally diagnosed during echocardiography or discovered after transient ischemic attack, stroke, or myocardial infarction. Removal of papil...