Mathematical analysis of histogram equalization techniques for medical image enhancement: a tutorial from the perspective of data loss
This tutorial demonstrates a novel mathematical analysis of histogram equalization
techniques and its application in medical image enhancement. In this paper, conventional …
techniques and its application in medical image enhancement. In this paper, conventional …
A Review on CLAHE Based Enhancement Techniques
R Sharma, A Kamra - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
Machine intelligence concepts have revolutionized the way to solve/address the
multifaceted problems in many domains such as network security, 3-D modelling, etc. One …
multifaceted problems in many domains such as network security, 3-D modelling, etc. One …
Dental cavity detection using yolo
A Sonavane, R Kohar - Proceedings of Data Analytics and Management …, 2022 - Springer
Oral health diseases are very usual diseases as well as most human beings suffer from this.
Because of destitution or unhygienic habits, these oral issues are frequent, also it is …
Because of destitution or unhygienic habits, these oral issues are frequent, also it is …
Resource efficient real-time processing of contrast limited adaptive histogram equalization
Contextual Contrast Limited Adaptive Histogram Equalization (C-CLAHE) is an effective
method for solving the noise amplification effect of the adaptive histogram equalization …
method for solving the noise amplification effect of the adaptive histogram equalization …
Ramp distribution-based contrast enhancement techniques and over-contrast measure
Our approach to contrast enhancement (CE) of images is based on natural scene statistics
(NSS). We show, in this paper, that the average intensity distribution of natural images can …
(NSS). We show, in this paper, that the average intensity distribution of natural images can …
Feature and Decision Fusion for Breast Cancer Detection
With the advancement of technology and its implementation in the medical field, a lot of new
methods and techniques are created to solve complex real-life problems. Breast cancer is a …
methods and techniques are created to solve complex real-life problems. Breast cancer is a …
[PDF][PDF] A Tuberculosis Detection Method Using Attention and Sparse R-CNN.
X Xu, J Zhang, X Cheng, L Lu, Y Zhao, Z Xu… - KSII Transactions on …, 2022 - itiis.org
To achieve accurate detection of tuberculosis (TB) areas in chest radiographs, we design a
chest X-ray TB area detection algorithm. The algorithm consists of two stages: the chest X …
chest X-ray TB area detection algorithm. The algorithm consists of two stages: the chest X …
Semantic label prediction of mammography based on cc and mlo views
X Wang, J Li, C Qian - 2020 IEEE 6th international conference …, 2020 - ieeexplore.ieee.org
Mammography image usually contains two views in different orientations-CC and MLO. In
current computer-aided mammography label prediction systems, most models either assess …
current computer-aided mammography label prediction systems, most models either assess …
Superpixel texture analysis for classification of breast masses in dense background
Finding masses in dense background is a difficult task for even experienced radiologist. It is
due to the similarity of intensity between the masses and the overlapped normal dense …
due to the similarity of intensity between the masses and the overlapped normal dense …
Analisis Kepadatan Tulang Manusia Menggunakan Metode Support Vector Machine
TA Arkani, R Magdalena… - eProceedings …, 2020 - … .telkomuniversity.ac.id
Kepadatan tulang manusia sangatlah penting karena tulang berfungsi sebagai penopang
tubuh. Pengeroposan tulang dapat terjadi pada setiap orang dan juga tidak dapat diketahui …
tubuh. Pengeroposan tulang dapat terjadi pada setiap orang dan juga tidak dapat diketahui …