Human beings experience life through a spectrum of modes such as vision, taste, hearing,
smell, and touch. These multiple modes are integrated for information processing in our …

To detect pulmonary abnormalities such as Tuberculosis (TB), an automatic analysis and
classification of chest radiographs can be used as a reliable alternative to more …

Background: Lung cancer has become a major cause of cancer-related deaths. Detection of
potentially malignant lung nodules is essential for the early diagnosis and clinical …

Abstract Background/Objectives: The main objective of this work is to obtain an efficient
brain tumor image retrieval and classification using Deep Neural Network (DNN) …

We present a novel technique to separate panels from stitched multipanel figures appearing
in biomedical research articles. Since such figures may comprise images from different …

We present a novel technique to separate subpanels from stitched multipanel figures
appearing in biomedical research articles. Since such figures may comprise images from …

This paper summarizes the participation of the National Library of Medicine (NLM) in the
imageCLEF 2015 biomedical multipanel figure separation task. In this task, our method uses …

This work proposes the use of Genetic Algorithms (GA) to identify the area of the breast from
the background in thermographic breast images. The proposed method uses color …

Data engineering has become a powerful tool for machine learning applications over the
last few years. In computer vision for generative AI, the necessity of large amounts of data for …

Biomedical images are frequently used in articles to illustrate medical concepts and
highlight regions-of-interests (ROIs) by using annotation markers (pointers) such as different …