[HTML][HTML] Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
The recent development in the areas of deep learning and deep convolutional neural
networks has significantly progressed and advanced the field of computer vision (CV) and …
networks has significantly progressed and advanced the field of computer vision (CV) and …
A review of explainable deep learning cancer detection models in medical imaging
Deep learning has demonstrated remarkable accuracy analyzing images for cancer
detection tasks in recent years. The accuracy that has been achieved rivals radiologists and …
detection tasks in recent years. The accuracy that has been achieved rivals radiologists and …
The Role of generative adversarial network in medical image analysis: An in-depth survey
M AlAmir, M AlGhamdi - ACM Computing Surveys, 2022 - dl.acm.org
A generative adversarial network (GAN) is one of the most significant research directions in
the field of artificial intelligence, and its superior data generation capability has garnered …
the field of artificial intelligence, and its superior data generation capability has garnered …
Overview of artificial intelligence in breast cancer medical imaging
D Zheng, X He, J Jing - Journal of Clinical Medicine, 2023 - mdpi.com
The heavy global burden and mortality of breast cancer emphasize the importance of early
diagnosis and treatment. Imaging detection is one of the main tools used in clinical practice …
diagnosis and treatment. Imaging detection is one of the main tools used in clinical practice …
Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …
Predicting breast tumor malignancy using deep ConvNeXt radiomics and quality-based score pooling in ultrasound sequences
Breast cancer needs to be detected early to reduce mortality rate. Ultrasound imaging (US)
could significantly enhance diagnosing cases with dense breasts. Most of the existing …
could significantly enhance diagnosing cases with dense breasts. Most of the existing …
Towards clinical application of artificial intelligence in ultrasound imaging
Artificial intelligence (AI) is being increasingly adopted in medical research and applications.
Medical AI devices have continuously been approved by the Food and Drug Administration …
Medical AI devices have continuously been approved by the Food and Drug Administration …
A systematic literature review of breast cancer diagnosis using machine intelligence techniques
Breast cancer is one of the most common diseases in women; it can have long-term
implications and can even be fatal. However, early detection, achieved through recent …
implications and can even be fatal. However, early detection, achieved through recent …
Prospects of structural similarity index for medical image analysis
An image quality matrix provides a significant principle for objectively observing an image
based on an alteration between the original and distorted images. During the past two …
based on an alteration between the original and distorted images. During the past two …
Arf-net: An adaptive receptive field network for breast mass segmentation in whole mammograms and ultrasound images
UNet adopting an encoder-decoder structure has been used widely in medical image
segmentation tasks for its outstanding performance. However, in our work, we find that UNet …
segmentation tasks for its outstanding performance. However, in our work, we find that UNet …