Ultrasonography is widely used in the clinical diagnosis of thyroid nodules. Ultrasound
images of thyroid nodules have different appearances, interior features, and blurred borders …

Objective Ovarian endometrioma (OMA) is one of the most common ovarian cysts
worldwide, seriously impairing the reproductive function of females. Accurate diagnosis is of …

The classification of ovarian cancer types is a very challenging process for physicians' eyes.
To solve this problem, this article proposes a new deep learner, which classifies ovarian …

Objective: The objective of this study is to build a deep learning model with advanced
accuracy of differential diagnosis between malignant and benign lesions of ovary. Methods …

Deep learning has shown great potentials for medical image analysis and computer-aided
diagnosis of some diseases such as MRI brain tumor segmentation, mammogram …

Objective This study aimed to evaluate and validate the performance of deep convolutional
neural networks when discriminating different histologic types of ovarian tumor in ultrasound …

The female reproductive system relies on the ovaries to produce eggs, but ovarian cysts can
lead to complications such as torsion, infertility, and cancer, making it essential to diagnose …

Ovarian cancer ranks as the fifth leading cause of cancer-related mortality in women. Late-
stage diagnosis (stages III and IV) is a major challenge due to the often vague and …

Abstract Machine and Deep learning has witnessed an exceptional amount of admiration in
recent years. ML has ability to learn data itself by predicting uncertain conditions or future …

This paper proposes transfer learning and fine-tuning techniques for a deep learning model
to detect three distinct brain tumors from Magnetic Resonance Imaging (MRI) scans. In this …