Comparative analysis on cross-modal information retrieval: A review
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 …
smell, and touch. These multiple modes are integrated for information processing in our …
Feature selection for automatic tuberculosis screening in frontal chest radiographs
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 …
classification of chest radiographs can be used as a reliable alternative to more …
Overview of computer aided detection and computer aided diagnosis systems for lung nodule detection in computed tomography
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 …
potentially malignant lung nodules is essential for the early diagnosis and clinical …
[PDF][PDF] An Efficient Medical Image Retrieval and Classification using Deep Neural Network
K Chethan, R Bhandarkar - Indian Journal of Science and …, 2020 - pdfs.semanticscholar.org
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) …
brain tumor image retrieval and classification using Deep Neural Network (DNN) …
Line segment-based stitched multipanel figure separation for effective biomedical CBIR
KC Santosh, A Aafaque, S Antani… - International Journal of …, 2017 - World Scientific
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 …
in biomedical research articles. Since such figures may comprise images from different …
Stitched multipanel biomedical figure separation
KC Santosh, S Antani, G Thoma - 2015 IEEE 28th International …, 2015 - ieeexplore.ieee.org
We present a novel technique to separate subpanels from stitched multipanel figures
appearing in biomedical research articles. Since such figures may comprise images from …
appearing in biomedical research articles. Since such figures may comprise images from …
[PDF][PDF] NLM at imageCLEF2015: Biomedical Multipanel Figure Separation.
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 …
imageCLEF 2015 biomedical multipanel figure separation task. In this task, our method uses …
Roi extraction in thermographic breast images using genetic algorithms
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 …
the background in thermographic breast images. The proposed method uses color …
Multi-modal detection transformer with data engineering technique to stratify patients with Ulcerative Colitis
A Lopez, H Valencia, G Ochoa-Ruiz… - 2024 IEEE 37th …, 2024 - ieeexplore.ieee.org
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 …
last few years. In computer vision for generative AI, the necessity of large amounts of data for …
Multi-Label Concept Classification in Imaging Entities of Biomedical Literature Using CNN and Vision Transformers
MM Rahman, B Regmi - 2023 Congress in Computer Science …, 2023 - ieeexplore.ieee.org
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 …
highlight regions-of-interests (ROIs) by using annotation markers (pointers) such as different …