This study aims to enable effective breast ultrasound image classification by combining
deep features with conventional handcrafted features to classify the tumors. In particular, the …

With the expanding development of Deep Learning techniques Medical Image Analysis
have become an active field of research. Medical Image Analysis typically refers to the …

Image retrieval technology is a very fast-growing digital technology for researchers in the
field of computer science from a very long period. It is a system for retrieving digital images …

Glaucoma is one of the leading causes of blindness worldwide and Optical Coherence
Tomography (OCT) is the quintessential imaging technique for its detection. Unlike most of …

Breast ultrasound (BUS) imaging is commonly used for breast cancer diagnosis, but the
interpretation of BUS images varies based on the radiologist's experience. Computer-aided …

Background Single-photon emission computed tomography (SPECT) myocardial perfusion
imaging (MPI) plays a crucial role in the optimal treatment strategy for patients with coronary …

In today's era image retrieval is most emerging trends of digital image processing
techniques. Traditional methods for retrieval such as Text and Query based image retrieval …

Texture-based instance retrieval is typically performed on images that present a single
texture pattern and is mainly applied to the retrieval of fabrics or textiles. In this work, we …

Content-Based Histopathological Image Retrieval (CBHIR) is a search technique based on
the visual content and histopathological features of whole-slide images (WSIs). CBHIR tools …

Background Magnetic resonance imaging (MRI) image retrieval holds significant value in
clinical contexts and medical education due to the shortcomings of traditional methods: slow …