![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Journal of Medical Imaging and Health Informatics, Volume 12
Volume 12, Number 1, January 2022
- B. Lalithambigai, S. Chitra:
Segment Based Compressive Sensing (SBCS) of Color Images for Internet of Multimedia Things Applications. 1-6 - R. S. Karthic, K. R. Aravind Britto:
Automated Diagnosis of Breast Cancer from Mammogram Using Wavelet, Curvelet Features, and Convolutional Neural Network. 7-14 - R. Ragumadhavan, K. R. Aravind Britto, R. Vimala:
Melanoma Skin Cancer Detection Using Wavelet Transform and Local Ternary Pattern. 15-19 - S. Saranya, S. Sudha:
Execution Analysis of Clarity Locale Segmentation for Condition Recognition Utilizing Genetic Algorithm Method. 20-26 - C. Saravanakumar
, N. Usha Bhanu:
Speed Efficient Fast Fourier Transform for Signal Processing of Nucleotides to Detect Diabetic Retinopathy Using Machine Learning. 27-34 - W. Nancy, A. Celine Kavida:
Optimized Ensemble Machine Learning-Based Diabetic Retinopathy Grading Using Multiple Region of Interest Analysis and Bayesian Approach. 35-44 - Martin Joel Rathnam, M. C. Jobin Christ:
A Novel Method for Cataract Detection and Segmentation Using Nakagami Distribution. 45-51 - Chang Hyun Ryu:
Using Anger Management Virtual Reality Cognitive Behavior Therapy to Treat Violent Offenders with Alcohol Dependence in South Korea: A Preliminary Investigation. 52-61 - G. Ramani, T. Menakadevi
:
Detection of Diabetic Retinopathy Using Discrete Wavelet Transform with Discrete Meyer in Retinal Images. 62-67 - Han Zhou, Jing Li, Aomei Li, Xiangnan Qiu, Zetian Shen, Yun Ge:
Diagnostic Application and Systematic Evaluation of Image Registration Software in External Radiotherapy. 68-76 - M. Balasingh Moses, S. Rajarajacholan:
A Novel Modified Adaptive Controller Design for Non Negative DC-DC Converter Using Meta-Heuristic Algorithms for Bio Medical Hybrid Application. 77-82 - Lifang Zheng, Weixia Liu, Hangying Chen:
Optimization of Patient Health Management Mechanism Under Intelligent Medical Information System. 83-91 - Tao Li, Kai Chen, Xianyue Quan:
Functional Magnetic Resonance Imaging Study of Thymus Activation Induced by Different Intensity Electrical Stimulation (Journal of Medical Imaging and Health Informatics, Vol. 11(2), pp. 378-385 (2021)). 92
Volume 12, Number 2, February 2022
- Le-Jun Fu, Bi-Bo Zhao, Tian-Hao Yang, Chun-Shui Yu:
Application Value of CT Perfusion Imaging in Patients with Posterior Circulation Hyperacute Cerebral Infarction. 93-99 - Qiufang Ma, C. Manikandan, Elamaran Vellaiappan, M. Thilagaraj:
The Utility of Simulink Subsystems in Handling and Processing of Biomedical Signals and Images. 100-105 - M. Revathi, G. Singaravel:
Improved Wavelet Filter Bank Selection for Effective Feature Extraction in Alzheimer Classification. 106-111 - S. Ciyamala Kushbu, T. M. Inbamalar
:
Making Semi-Automatic Segmentation Method to be Automatic Using Deep Learning for Biventricular Segmentation. 112-122 - B. V. Prakash, A. Rajiv Kannan:
An Efficient Approach to Detect Meningioma Brain Tumor Using Adaptive Neuro Fuzzy Inference System Method. 123-130 - A. Kishore Kumar, A. Udhayakumar, K. Kalaiselvi:
Convolutional Neural Networks Based Classifier for Diabetic Retinopathy. 131-137 - B. Balasuganya, Ambayiram Chinnasamy, Divakaran Sheela:
An Effective Framework for the Classification of Retinopathy Grade and Risk of Macular Edema for Diabetic Retinopathy Images. 138-148 - P. Rayavel, C. Murukesh:
A Novel Approach for Identification of Biomakers in Diabetic Retinopathy Recognition. 149-154 - V. Anitha:
An Operative Acute Brain Tumor Recognition by Jointure Inward Unswerving Probabilistic Neural Network Classifier. 155-167 - I. Nandhini, D. Manjula, Vijayan Sugumaran:
Multi-Class Brain Disease Classification Using Modified Pre-Trained Convolutional Neural Networks Model with Substantial Data Augmentation. 168-183 - Ahmed Elhassanein:
A New Type I Half-Logistic Inverse Weibull Distribution with an Application to the Relief Times Data of Patients Receiving an Analgesic. 184-199
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.