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Special Issue: Optimization and Machine Learning in Medical Image Analysis

Guest Editors

Prof. Yudong Zhang
School of Computing and Mathematical Sciences, University of Leicester, UK
Email: yudongzhang@ieee.org


Prof. Juan Manuel Gorriz
Data Science and Computational Intelligence Institute (DASCI), University of Granada, Spain
Email: gorriz@ugr.es


Prof. Zhengchao Dong
New York State Psychiatric Institute, Columbia University, USA
Email: zd2109@cumc.columbia.edu

Manuscript Topics


Machine learning (ML) is the study of computer algorithms that learn automatically through experience. ML is a subset of artificial intelligence. ML algorithms build a mathematical model based on sample data, e.g., "data-driven models," to make decisions or diagnoses on unseen new samples. On the other side, ML is closely related to the field of  optimization. Many ML models are formulated to minimize some loss function, i.e., unobserved generalization error, on a set of independent training samples.


The difference between the two fields arises from the goal of generalization. While optimization algorithms attempt to minimize the loss on a training set (empirical risk), ML is concerned with minimizing the loss on the test set (actual risk). In other words, ML provides a framework for studying the problem of inference whilst the field of optimization is focused on the development of algorithms for hyperparameter tuning.


ML holds excellent promise as an addition to the arsenal of analysis and comprehension tools for medical images. Besides, ML can accomplish many tasks, such as registration, preprocessing, classification, prediction, inference, etc.


This special issue plans to report the recent progresses on optimization algorithms and machine learning techniques in medical image analysis. The medical data can be obtained from single/multiple imaging modalities, such as computed tomography, magnetic resonance imaging, positron emission tomography, ultrasound, single photon emission computed tomography, photoacoustic tomography, magnetic particle imaging, optical microscopy and tomography, electron tomography, and atomic force microscopy, etc.


The ultimate goal of this special issue is to promote research and development of optimization and machine learning theories and their applications in medical image analysis by publishing high-quality research articles and surveys in this rapidly growing interdisciplinary field.


Topics of interest should include, but not be limited to    
• Supervised/unsupervised learning on registration, preprocessing, classification, and prediction over medical images analysis
• Deep learning for medical image/video analysis
• Machine learning and optimization of big data in imaging
• Segmentation, registration, and fusion of medical images
• Validation of ML results on medical image analysis
• Explainable ML on medical image analysis
• Transfer learning on medical image analysis
• Explainable ML on medical image analysis
• Computer-aided diagnosis
• Image formation/reconstruction and image quality assessment
• Visualization in medical imaging


Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 30 December 2023

Published Papers(13)

Research article
Toward robust and privacy-enhanced facial recognition: A decentralized blockchain-based approach with GANs and deep learning
Muhammad Ahmad Nawaz Ul Ghani Kun She Muhammad Arslan Rauf Shumaila Khan Masoud Alajmi Yazeed Yasin Ghadi Hend Khalid Alkahtani
2024, Volume 21, Issue 3: 4165-4186. doi: 10.3934/mbe.2024184
Abstract HTML PDF Cited (6) Viewed (2300)
Research article
HIMS-Net: Horizontal-vertical interaction and multiple side-outputs network for cyst segmentation in jaw images
Xiaoliang Jiang Huixia Zheng Zhenfei Yuan Kun Lan Yaoyang Wu
2024, Volume 21, Issue 3: 4036-4055. doi: 10.3934/mbe.2024178
Abstract HTML PDF Viewed (1401)
Research article
Predicting the cognitive function status in end-stage renal disease patients at a functional subnetwork scale
Yu Lu Tongqiang Liu Quan Sheng Yutao Zhang Haifeng Shi Zhuqing Jiao
2024, Volume 21, Issue 3: 3838-3859. doi: 10.3934/mbe.2024171
Abstract HTML PDF Viewed (1536)
Research article
A self-supervised fusion network for carotid plaque ultrasound image classification
Yue Zhang Haitao Gan Furong Wang Xinyao Cheng Xiaoyan Wu Jiaxuan Yan Zhi Yang Ran Zhou
2024, Volume 21, Issue 2: 3110-3128. doi: 10.3934/mbe.2024138
Abstract HTML PDF Viewed (1493)
Research article
DAU-Net: A medical image segmentation network combining the Hadamard product and dual scale attention gate
Xiaoyan Zhang Mengmeng He Hongan Li
2024, Volume 21, Issue 2: 2753-2767. doi: 10.3934/mbe.2024122
Abstract HTML PDF Cited (1) Viewed (1534)
Research article
Dual uncertainty-guided multi-model pseudo-label learning for semi-supervised medical image segmentation
Zhanhong Qiu Weiyan Gan Zhi Yang Ran Zhou Haitao Gan
2024, Volume 21, Issue 2: 2212-2232. doi: 10.3934/mbe.2024097
Abstract HTML PDF Viewed (1661)
Research article
A dual-modal dynamic contour-based method for cervical vascular ultrasound image instance segmentation
Chenkai Chang Fei Qi Chang Xu Yiwei Shen Qingwu Li
2024, Volume 21, Issue 1: 1038-1057. doi: 10.3934/mbe.2024043
Abstract HTML PDF Viewed (1709)
Research article
BiTCAN: An emotion recognition network based on saliency in brain cognition
Yanling An Shaohai Hu Shuaiqi Liu Bing Li
2023, Volume 20, Issue 12: 21537-21562. doi: 10.3934/mbe.2023953
Abstract HTML PDF Cited (1) Viewed (1541)
Research article
ECA-TFUnet: A U-shaped CNN-Transformer network with efficient channel attention for organ segmentation in anatomical sectional images of canines
Yunling Liu Yaxiong Liu Jingsong Li Yaoxing Chen Fengjuan Xu Yifa Xu Jing Cao Yuntao Ma
2023, Volume 20, Issue 10: 18650-18669. doi: 10.3934/mbe.2023827
Abstract HTML PDF Viewed (2226)
Research article
A global optimization generation method of stitching dental panorama with anti-perspective transformation
Ning He Hongmei Jin Hong'an Li Zhanli Li
2023, Volume 20, Issue 9: 17356-17383. doi: 10.3934/mbe.2023772
Abstract HTML PDF Viewed (1905)
Research article
Multi-modal feature selection with self-expression topological manifold for end-stage renal disease associated with mild cognitive impairment
Chaofan Song Tongqiang Liu Huan Wang Haifeng Shi Zhuqing Jiao
2023, Volume 20, Issue 8: 14827-14845. doi: 10.3934/mbe.2023664
Abstract HTML PDF Cited (2) Viewed (1891)
Research article
A lightweight dual-path cascaded network for vessel segmentation in fundus image
Yanxia Sun Xiang Li Yuechang Liu Zhongzheng Yuan Jinke Wang Changfa Shi
2023, Volume 20, Issue 6: 10790-10814. doi: 10.3934/mbe.2023479
Abstract HTML PDF Viewed (2149)
Review
Deep transfer learning for IDC breast cancer detection using fast AI technique and Sqeezenet architecture
Sushovan Chaudhury Kartik Sau Muhammad Attique Khan Mohammad Shabaz
2023, Volume 20, Issue 6: 10404-10427. doi: 10.3934/mbe.2023457
Abstract HTML PDF Cited (10) Viewed (3709)