AI Medical Compendium Journal:
Gene expression patterns : GEP

Showing 1 to 9 of 9 articles

Searching by parts: Towards fine-grained image retrieval respecting species correlation.

Gene expression patterns : GEP
Most of the existing works on fine-grained image categorization and retrieval focus on finding similar images from the same species and often give little importance to inter-species similarities. However, these similarities may carry species correlat...

Improving liver lesions classification on CT/MRI images based on Hounsfield Units attenuation and deep learning.

Gene expression patterns : GEP
The early sign detection of liver lesions plays an extremely important role in preventing, diagnosing, and treating liver diseases. In fact, radiologists mainly consider Hounsfield Units to locate liver lesions. However, most studies focus on the ana...

Kurdish Handwritten character recognition using deep learning techniques.

Gene expression patterns : GEP
Handwriting recognition is regarded as a dynamic and inspiring topic in the exploration of pattern recognition and image processing. It has many applications including a blind reading aid, computerized reading, and processing for paper documents, mak...

Double enhanced residual network for biological image denoising.

Gene expression patterns : GEP
With the achievements of deep learning, applications of deep convolutional neural networks for the image denoising problem have been widely studied. However, these methods are typically limited by GPU in terms of network layers and other aspects. Thi...

Optimization assisted framework for thyroid detection and classification: A new ensemble technique.

Gene expression patterns : GEP
Ultrasound (US) is an inexpensive and non-invasive technique for capturing the image of the thyroid gland and nearby tissue. The classification and detection of thyroid disorders is still in its infant stage. This study aims to present a new thyroid ...

Leveraging ShuffleNet transfer learning to enhance handwritten character recognition.

Gene expression patterns : GEP
Handwritten character recognition has continually been a fascinating field of study in pattern recognition due to its numerous real-life applications, such as the reading tools for blind people and the reading tools for handwritten bank cheques. Ther...

Visual and buying sequence features-based product image recommendation using optimization based deep residual network.

Gene expression patterns : GEP
A recommendation system is an imaginative resolution for managing the restrictions in e-commerce services with item details and user details. Also, it is used to determine the user preferences to recommend the items they expected to buy. Several conv...

AMB-Wnet: Embedding attention model in multi-bridge Wnet for exploring the mechanics of disease.

Gene expression patterns : GEP
In recent years, progressive application of convolutional neural networks in image processing has successfully filtered into medical diagnosis. As a prerequisite for images detection and classification, object segmentation in medical images has attra...

Prediction of future gene expression profile by analyzing its past variation pattern.

Gene expression patterns : GEP
A number of initial Hematopoietic Stem Cells (HSC) are considered in a container that are able to divide into HSCs or differentiate into various types of descendant cells. In this paper, a method is designed to predict an approximate gene expression ...