Aims

Life (ISSN 2075-1729) is an international, peer-reviewed scientific open access journal concerned with fundamental themes in life sciences, from basic to applied research. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. There are, in addition, unique features of this journal:

    Manuscripts regarding research proposals and research ideas will be particularly welcomed.
    Electronic files or software regarding the full details of the calculation and experimental procedure-if unable to be published in a normal way-can be deposited as supplementary material.
    Manuscripts communicating to a broader audience with regard to research projects financed with public funds are also welcomed.
    Authors have the option to publish all reviewer comments and editorial decisions alongside the final published manuscript.
    Reviewers can optionally sign their comments: in this case, their identity will be made public with the final published paper.

Scope

This journal covers all aspects of life sciences. Research fields of interest include but are not limited to:

    abiogenesis
    artificial life
    astrobiology
    biochemistry
    biodiversity
    bioinformatics
    biomedicine
    biophysics
    biotechnology
    botany
    cell biology
    definition of life
    developmental biology
    ecology
    extremophiles
    evolutionary biology
    genetics
    genomics
    geobiology
    habitability
    life detection technology
    microbiology
    molecular biology
    molecular phylogeny
    neurobiology
    origins of life
    paleontology
    prebiotic chemistry
    proteomics
    space life sciences/ space biology
    structural biology
    systems biology
    synthetic biology
    theoretical biology
    virology

Special Issue on Advances in Artificial Intelligence for Medical Image Analysis
截稿日期: 2024-10-30

Dear Colleagues,

Medical image analysis plays a vital role in diagnosing numerous pathologies, ranging from infectious diseases to cancer. Additionally, artificial intelligence (AI) is rapidly transforming the field of medical imaging, with new AI-powered tools and techniques being developed all the time. These advances are making it possible to detect diseases earlier, more accurately, and more efficiently than ever before.

One of the most promising areas of AI in medical imaging is in the development of deep learning algorithms. Deep learning has powerful capabilities of feature extraction and pattern classification, and it can learn knowledge from datasets. This makes it well-suited for tasks such as image classification, object detection, and segmentation, which are all important for medical image analysis. Consequently, the processing burden in medical imaging has now shifted from the human to the computer side, thus allowing more researchers to step into this well-regarded and momentous area.  These advances are making it possible to improve the quality of care for patients and to save lives. (https://www.mdpi.com/journal/life/special_issues/N50XKUIWD8)

This Special Issue seeks high-quality research articles or comprehensive reviews with the applications of Artificial intelligence in Medical Image Analysis. 


Keywords
artificial intelligence
medical imaging
deep learning for medical imaging
histopathological image analysis
medical diagnosis
visualization in biomedical imaging
magnetic resonance imaging (MRI)
X-ray computed tomography (CT)
positron emission tomography (PET)
medical image fusion

Dr. Xin Jin
Guest Editor