Ovaries are important parts of the female reproductive system because they produce the egg
or ovum needed for fertilization. Cysts frequently impact female follicles, so torsion, infertility …

Problem statement: Recently, there has been a huge progress in collection of varied image
databases in the form of digital. Most of the users found it difficult to search and retrieve …

This paper proposes automated identification and classification of various stages of focal
liver lesions based on the Multi-Support Vector Machine (Multi-SVM). The proposed system …

Objective: To develop a computerized diagnostic model to characterize the ovarian cyst at its
early stage in order to avoid unnecessary biopsy and patient anxiety. Background: The main …

The ovarian cyst is a prevalent disease among women of childbearing age. Early detection
of ovaries can effectively prevent the risk of large cysts leading to torsion, infertility, and even …

Content-Based Image Retrieval (CBIR) system for medical applications is one of the
trending research fields in computer vision and Digital image processing over the last 20 …

Recently, computer-aided diagnostic systems for various diseases have received great
attention. One of the latest technologies used is deep learning architectures for analyzing …

目的探究基于深度残差网络ResNet152 对4 种常见肺部超声征象的分类. 方法前瞻性收集2020
年6 月至9 月在同济大学附属上海市肺科医院超声科进行超声检查患者的超声图像, 分别采集A …

Computer-aided detection/diagnosis (CAD) systems are critical for doctors to understand the
medical images and to improve the accuracy of detection/diagnosis of various diseases. The …

For successful classification of Hepatocellular Carcinoma (HCC) in ultrasound (US) images,
effective preprocessing steps are highly desirable. Most of Computer Aided Diagnostic …